MAT

04ef_3bd9

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

level of significance, α standard cutoff probability used to determine statistical significance alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is NOT due to random chance critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ p-value if this value is small, there is stronger evidence in favor of the alternative hypothesis, H_a null hypothesis, H₀ defines the distribution used for comparison in the test MAT

04ef_56ae

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

degrees of freedom depends on sample size and restrictions from estimated parameters level of significance, α the probability cutoff used to decide whether to reject the null hypothesis, H₀ null hypothesis, H₀ defines the distribution used for comparison in the test alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is real and NOT random critical value the cutoff used to compare against the observed test statistic MAT

04ef_a110

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

test statistic if this value is large in the direction favoring the alternative hypothesis, H_a, there is stronger evidence against the null hypothesis, H₀ alternative hypothesis, H_a represents the possibility that an observed effect or relationship is real and NOT random critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ degrees of freedom the count of values free to vary once constraints are applied null hypothesis, H₀ the hypothesis we want to reject in a stattest MAT

04ef_1317

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

p-value the probability, under the null hypothesis, H₀, of obtaining a result at least as extreme as the one observed alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is NOT due to random chance level of significance, α the probability cutoff used to decide whether to reject the null hypothesis, H₀ degrees of freedom depends on sample size and restrictions from estimated parameters null hypothesis, H₀ defines the distribution used for comparison in the test MAT

04ef_cf2f

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is real and NOT random level of significance, α the cutoff for how small a p-value must be to reject the null hypothesis, H₀ p-value smaller values typically correspond to more extreme test statistic values critical value the cutoff used to compare against the observed test statistic degrees of freedom based on how many independent pieces of information are available MAT

04ef_4b7c

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

critical value found in a table for given degrees of freedom and level of significance, α null hypothesis, H₀ the hypothesis we want to reject in a stattest p-value the probability, under the null hypothesis, H₀, of obtaining a result at least as extreme as the one observed test statistic a function of the data designed to measure agreement or disagreement with the null hypothesis degrees of freedom the count of values free to vary once constraints are applied MAT

04ef_55ea

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

null hypothesis, H₀ the hypothesis we attempt to find evidence against in a stattest critical value found in a table for given degrees of freedom and level of significance, α level of significance, α standard cutoff probability used to determine statistical significance p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H₀ test statistic a function of the data designed to measure agreement or disagreement with the null hypothesis MAT

04ef_e4f7

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

test statistic the more extreme this value is under the null hypothesis, H₀, the smaller the p-value alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is NOT due to random chance degrees of freedom a parameter based on sample size and estimated parameters or constraints p-value smaller values typically correspond to more extreme test statistic values level of significance, α standard cutoff probability used to determine statistical significance MAT

04ef_609d

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

critical value the cutoff used to compare against the observed test statistic alternative hypothesis, H_a represents the possibility that an observed effect or relationship is NOT due to random chance level of significance, α biologists often use a probability of 0.05 (5%) for this value degrees of freedom a parameter determined by sample size and the number of parameters test statistic a function of the data computed to test the null hypothesis, H₀ MAT

04ef_a92c

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

critical value found in a table for given degrees of freedom and level of significance, α level of significance, α the probability cutoff used to decide whether to reject the null hypothesis, H₀ test statistic if this value is large in the direction favoring the alternative hypothesis, H_a, there is stronger evidence against the null hypothesis, H₀ degrees of freedom a parameter determined by sample size and the number of parameters null hypothesis, H₀ the hypothesis we want to reject in a stattest MAT

04ef_7d12

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

test statistic the more extreme this value is under the null hypothesis, H₀, the smaller the p-value p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H₀ degrees of freedom a parameter based on sample size and estimated parameters or constraints alternative hypothesis, H_a represents the possibility that an observed effect or relationship is NOT due to random chance level of significance, α biologists often use a probability of 0.05 (5%) for this value MAT

04ef_bfe5

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ test statistic a function of the data designed to measure agreement or disagreement with the null hypothesis alternative hypothesis, H_a the hypothesis we aim to support indirectly by rejecting another hypothesis p-value the probability, under the null hypothesis, H₀, of obtaining a result at least as extreme as the one observed level of significance, α the probability cutoff that limits how often we mistakenly reject a TRUE null hypothesis, H₀ (later called a Type I error). MAT

04ef_96de

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is NOT due to random chance p-value smaller values typically correspond to more extreme test statistic values level of significance, α the cutoff for how small a p-value must be to reject the null hypothesis, H₀ critical value the cutoff used to compare against the observed test statistic null hypothesis, H₀ the hypothesis we attempt to find evidence against in a stattest MAT

04ef_13b9

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

alternative hypothesis, H_a this hypothesis can sometimes be TRUE even when the test fails to detect it (later called a Type II error) null hypothesis, H₀ the hypothesis we want to reject in a stattest test statistic a function of the data designed to measure agreement or disagreement with the null hypothesis critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ level of significance, α the cutoff for how small a p-value must be to reject the null hypothesis, H₀ MAT

04ef_2002

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

null hypothesis, H₀ the hypothesis we attempt to find evidence against in a stattest alternative hypothesis, H_a represents the possibility that an observed effect or relationship is NOT due to random chance level of significance, α biologists often use a probability of 0.05 (5%) for this value p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H₀ critical value found in a table for given degrees of freedom and level of significance, α MAT

04ef_a19b

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is NOT due to random chance p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H₀ critical value found in a table for given degrees of freedom and level of significance, α test statistic a function of the data designed to measure agreement or disagreement with the null hypothesis null hypothesis, H₀ this hypothesis defines the distribution used for comparison in the test MAT

04ef_2e04

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

level of significance, α biologists often use a probability of 0.05 (5%) for this value null hypothesis, H₀ defines the reference distribution used for comparison p-value smaller values typically correspond to more extreme test statistic values test statistic if this value is large in the direction favoring the alternative hypothesis, H_a, there is stronger evidence against the null hypothesis, H₀ alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is real and NOT random MAT

04ef_77e1

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

test statistic a function of the data designed to measure agreement or disagreement with the null hypothesis p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H₀ level of significance, α standard cutoff probability used to determine statistical significance alternative hypothesis, H_a this hypothesis can sometimes be TRUE even when the test fails to detect it (later called a Type II error) null hypothesis, H₀ this hypothesis defines the distribution used for comparison in the test MAT

04ef_d0c6

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

critical value found in a table for given degrees of freedom and level of significance, α level of significance, α the probability cutoff that limits how often we mistakenly reject a TRUE null hypothesis, H₀ (later called a Type I error). null hypothesis, H₀ this hypothesis defines the distribution used for comparison in the test test statistic the more extreme this value is under the null hypothesis, H₀, the smaller the p-value p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H₀ MAT

04ef_cd1f

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

test statistic if this value is large in the direction favoring the alternative hypothesis, H_a, there is stronger evidence against the null hypothesis, H₀ critical value found in a table for given degrees of freedom and level of significance, α alternative hypothesis, H_a this hypothesis can sometimes be TRUE even when the test fails to detect it (later called a Type II error) degrees of freedom based on how many independent pieces of information are available null hypothesis, H₀ this hypothesis defines the distribution used for comparison in the test MAT

04ef_cfc3

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

degrees of freedom based on how many independent pieces of information are available null hypothesis, H₀ defines the distribution used for comparison in the test alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is NOT due to random chance critical value the cutoff used to compare against the observed test statistic test statistic a function of the data designed to measure agreement or disagreement with the null hypothesis MAT

04ef_2448

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is NOT due to random chance p-value the probability, under the null hypothesis, H₀, of obtaining a result at least as extreme as the one observed null hypothesis, H₀ defines the reference distribution used for comparison test statistic if this value is large in the direction favoring the alternative hypothesis, H_a, there is stronger evidence against the null hypothesis, H₀ critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ MAT

04ef_5e86

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

alternative hypothesis, H_a represents the possibility that an observed effect or relationship is real and NOT random test statistic if this value is large in the direction favoring the alternative hypothesis, H_a, there is stronger evidence against the null hypothesis, H₀ p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H₀ level of significance, α the probability cutoff that limits how often we mistakenly reject a TRUE null hypothesis, H₀ (later called a Type I error). critical value the cutoff used to compare against the observed test statistic MAT

04ef_cfc7

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

alternative hypothesis, H_a the hypothesis we aim to support indirectly by rejecting another hypothesis p-value if this value is small, there is stronger evidence in favor of the alternative hypothesis, H_a level of significance, α biologists often use a probability of 0.05 (5%) for this value null hypothesis, H₀ the hypothesis we attempt to find evidence against in a stattest degrees of freedom a parameter based on sample size and estimated parameters or constraints MAT

04ef_0cfe

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

test statistic the more extreme this value is under the null hypothesis, H₀, the smaller the p-value p-value if this value is small, there is stronger evidence in favor of the alternative hypothesis, H_a critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is NOT due to random chance degrees of freedom a parameter based on sample size and estimated parameters or constraints MAT

04ef_9522

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

critical value the cutoff used to compare against the observed test statistic alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is real and NOT random degrees of freedom depends on sample size and restrictions from estimated parameters level of significance, α standard cutoff probability used to determine statistical significance test statistic a function of the data designed to measure agreement or disagreement with the null hypothesis MAT

04ef_0380

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

test statistic if this value is large in the direction favoring the alternative hypothesis, H_a, there is stronger evidence against the null hypothesis, H₀ critical value found in a table for given degrees of freedom and level of significance, α degrees of freedom depends on sample size and restrictions from estimated parameters level of significance, α the probability cutoff that limits how often we mistakenly reject a TRUE null hypothesis, H₀ (later called a Type I error). alternative hypothesis, H_a the hypothesis we aim to support indirectly by rejecting another hypothesis MAT

04ef_d9bc

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ null hypothesis, H₀ the hypothesis we want to reject in a stattest degrees of freedom based on how many independent pieces of information are available test statistic if this value is large in the direction favoring the alternative hypothesis, H_a, there is stronger evidence against the null hypothesis, H₀ alternative hypothesis, H_a represents the possibility that an observed effect or relationship is NOT due to random chance MAT

04ef_7d9a

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

test statistic a function of the data computed to test the null hypothesis, H₀ alternative hypothesis, H_a the hypothesis we aim to support indirectly by rejecting another hypothesis degrees of freedom a parameter based on sample size and estimated parameters or constraints level of significance, α the probability cutoff used to decide whether to reject the null hypothesis, H₀ critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ MAT

04ef_99d7

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

null hypothesis, H₀ the hypothesis we attempt to find evidence against in a stattest alternative hypothesis, H_a represents the possibility that an observed effect or relationship is NOT due to random chance p-value if this value is small, there is stronger evidence in favor of the alternative hypothesis, H_a critical value the cutoff used to compare against the observed test statistic degrees of freedom a parameter determined by sample size and the number of parameters MAT

04ef_cab8

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

degrees of freedom a parameter determined by sample size and the number of parameters alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is NOT due to random chance critical value the cutoff used to compare against the observed test statistic test statistic if this value is large in the direction favoring the alternative hypothesis, H_a, there is stronger evidence against the null hypothesis, H₀ level of significance, α standard cutoff probability used to determine statistical significance MAT

04ef_ec3c

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

p-value smaller values typically correspond to more extreme test statistic values null hypothesis, H₀ this hypothesis defines the distribution used for comparison in the test degrees of freedom a parameter determined by sample size and the number of parameters level of significance, α the probability cutoff used to decide whether to reject the null hypothesis, H₀ alternative hypothesis, H_a represents the possibility that an observed effect or relationship is real and NOT random MAT

04ef_0d3d

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

test statistic a function of the data designed to measure agreement or disagreement with the null hypothesis level of significance, α the probability cutoff that limits how often we mistakenly reject a TRUE null hypothesis, H₀ (later called a Type I error). null hypothesis, H₀ defines the reference distribution used for comparison critical value found in a table for given degrees of freedom and level of significance, α p-value smaller values typically correspond to more extreme test statistic values MAT

04ef_cf2e

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

null hypothesis, H₀ this hypothesis defines the distribution used for comparison in the test alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is NOT due to random chance test statistic the more extreme this value is under the null hypothesis, H₀, the smaller the p-value level of significance, α the probability cutoff used to decide whether to reject the null hypothesis, H₀ p-value the probability, under the null hypothesis, H₀, of obtaining a result at least as extreme as the one observed MAT

04ef_016e

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

level of significance, α standard cutoff probability used to determine statistical significance null hypothesis, H₀ defines the distribution used for comparison in the test p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H₀ critical value found in a table for given degrees of freedom and level of significance, α test statistic if this value is large in the direction favoring the alternative hypothesis, H_a, there is stronger evidence against the null hypothesis, H₀ MAT

04ef_bdd2

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

level of significance, α the cutoff for how small a p-value must be to reject the null hypothesis, H₀ null hypothesis, H₀ this hypothesis defines the distribution used for comparison in the test test statistic a function of the data designed to measure agreement or disagreement with the null hypothesis critical value the cutoff used to compare against the observed test statistic degrees of freedom depends on sample size and restrictions from estimated parameters MAT

04ef_db3b

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

test statistic a function of the data computed to test the null hypothesis, H₀ p-value if this value is small, there is stronger evidence in favor of the alternative hypothesis, H_a alternative hypothesis, H_a can be TRUE even if the test fails to detect it (later called a Type II error) critical value found in a table for given degrees of freedom and level of significance, α level of significance, α biologists often use a probability of 0.05 (5%) for this value MAT

04ef_c171

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ degrees of freedom based on how many independent pieces of information are available p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H₀ level of significance, α biologists often use a probability of 0.05 (5%) for this value test statistic a function of the data designed to measure agreement or disagreement with the null hypothesis MAT

04ef_c47d

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

test statistic if this value is large in the direction favoring the alternative hypothesis, H_a, there is stronger evidence against the null hypothesis, H₀ degrees of freedom the count of values free to vary once constraints are applied null hypothesis, H₀ this hypothesis defines the distribution used for comparison in the test alternative hypothesis, H_a represents the possibility that an observed effect or relationship is real and NOT random critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ MAT

04ef_11a0

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

critical value found in a table for given degrees of freedom and level of significance, α degrees of freedom the count of values free to vary once constraints are applied alternative hypothesis, H_a the hypothesis we aim to support indirectly by rejecting another hypothesis level of significance, α biologists often use a probability of 0.05 (5%) for this value test statistic a function of the data computed to test the null hypothesis, H₀ MAT

04ef_0b1d

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

level of significance, α biologists often use a probability of 0.05 (5%) for this value degrees of freedom depends on sample size and restrictions from estimated parameters alternative hypothesis, H_a can be TRUE even if the test fails to detect it (later called a Type II error) p-value smaller values typically correspond to more extreme test statistic values test statistic the more extreme this value is under the null hypothesis, H₀, the smaller the p-value MAT

04ef_1b0b

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

critical value found in a table for given degrees of freedom and level of significance, α degrees of freedom the count of values free to vary once constraints are applied alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is real and NOT random null hypothesis, H₀ the hypothesis we want to reject in a stattest level of significance, α the probability cutoff that limits how often we mistakenly reject a TRUE null hypothesis, H₀ (later called a Type I error). MAT

04ef_456d

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

test statistic the more extreme this value is under the null hypothesis, H₀, the smaller the p-value alternative hypothesis, H_a represents the possibility that an observed effect or relationship is NOT due to random chance critical value found in a table for given degrees of freedom and level of significance, α p-value the probability, under the null hypothesis, H₀, of obtaining a result at least as extreme as the one observed level of significance, α standard cutoff probability used to determine statistical significance MAT

04ef_6738

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

alternative hypothesis, H_a this hypothesis can sometimes be TRUE even when the test fails to detect it (later called a Type II error) p-value if this value is small, there is stronger evidence in favor of the alternative hypothesis, H_a critical value the cutoff used to compare against the observed test statistic test statistic a function of the data designed to measure agreement or disagreement with the null hypothesis level of significance, α the probability cutoff used to decide whether to reject the null hypothesis, H₀ MAT

04ef_721e

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

p-value if this value is small, there is stronger evidence in favor of the alternative hypothesis, H_a null hypothesis, H₀ defines the distribution used for comparison in the test critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ degrees of freedom a parameter determined by sample size and the number of parameters alternative hypothesis, H_a represents the possibility that an observed effect or relationship is real and NOT random MAT

04ef_5c3d

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

p-value smaller values typically correspond to more extreme test statistic values level of significance, α the probability cutoff that limits how often we mistakenly reject a TRUE null hypothesis, H₀ (later called a Type I error). critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ null hypothesis, H₀ defines the distribution used for comparison in the test test statistic the more extreme this value is under the null hypothesis, H₀, the smaller the p-value MAT

04ef_b39a

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

p-value if this value is small, there is stronger evidence in favor of the alternative hypothesis, H_a critical value found in a table for given degrees of freedom and level of significance, α test statistic a function of the data computed to test the null hypothesis, H₀ null hypothesis, H₀ the hypothesis we want to reject in a stattest level of significance, α the cutoff for how small a p-value must be to reject the null hypothesis, H₀ MAT

04ef_ce42

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

null hypothesis, H₀ the hypothesis we attempt to find evidence against in a stattest p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H₀ alternative hypothesis, H_a represents the possibility that an observed effect or relationship is real and NOT random test statistic the more extreme this value is under the null hypothesis, H₀, the smaller the p-value level of significance, α standard cutoff probability used to determine statistical significance MAT

04ef_b3bd

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

null hypothesis, H₀ the hypothesis we want to reject in a stattest degrees of freedom a parameter determined by sample size and the number of parameters p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H₀ alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is NOT due to random chance test statistic if this value is large in the direction favoring the alternative hypothesis, H_a, there is stronger evidence against the null hypothesis, H₀ MAT

04ef_77d6

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

null hypothesis, H₀ this hypothesis defines the distribution used for comparison in the test critical value found in a table for given degrees of freedom and level of significance, α alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is real and NOT random test statistic if this value is large in the direction favoring the alternative hypothesis, H_a, there is stronger evidence against the null hypothesis, H₀ p-value smaller values typically correspond to more extreme test statistic values MAT

04ef_bdb1

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

alternative hypothesis, H_a this hypothesis can sometimes be TRUE even when the test fails to detect it (later called a Type II error) level of significance, α the cutoff for how small a p-value must be to reject the null hypothesis, H₀ p-value the probability, under the null hypothesis, H₀, of obtaining a result at least as extreme as the one observed test statistic if this value is large in the direction favoring the alternative hypothesis, H_a, there is stronger evidence against the null hypothesis, H₀ null hypothesis, H₀ this hypothesis defines the distribution used for comparison in the test MAT

04ef_c7b1

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

null hypothesis, H₀ this hypothesis defines the distribution used for comparison in the test degrees of freedom a parameter determined by sample size and the number of parameters critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ level of significance, α the probability cutoff used to decide whether to reject the null hypothesis, H₀ p-value if this value is small, there is stronger evidence in favor of the alternative hypothesis, H_a MAT

04ef_80c6

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

level of significance, α the cutoff for how small a p-value must be to reject the null hypothesis, H₀ null hypothesis, H₀ defines the distribution used for comparison in the test test statistic the more extreme this value is under the null hypothesis, H₀, the smaller the p-value critical value found in a table for given degrees of freedom and level of significance, α alternative hypothesis, H_a can be TRUE even if the test fails to detect it (later called a Type II error) MAT

04ef_5c5f

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

null hypothesis, H₀ defines the distribution used for comparison in the test test statistic the more extreme this value is under the null hypothesis, H₀, the smaller the p-value p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H₀ alternative hypothesis, H_a represents the possibility that an observed effect or relationship is real and NOT random level of significance, α standard cutoff probability used to determine statistical significance MAT

04ef_2ba8

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

critical value found in a table for given degrees of freedom and level of significance, α level of significance, α the probability cutoff used to decide whether to reject the null hypothesis, H₀ alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is NOT due to random chance null hypothesis, H₀ defines the reference distribution used for comparison p-value smaller values typically correspond to more extreme test statistic values MAT

04ef_49aa

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

degrees of freedom a parameter based on sample size and estimated parameters or constraints test statistic if this value is large in the direction favoring the alternative hypothesis, H_a, there is stronger evidence against the null hypothesis, H₀ level of significance, α standard cutoff probability used to determine statistical significance critical value found in a table for given degrees of freedom and level of significance, α alternative hypothesis, H_a represents the possibility that an observed effect or relationship is real and NOT random MAT

04ef_4afe

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ degrees of freedom the count of values free to vary once constraints are applied null hypothesis, H₀ the hypothesis we attempt to find evidence against in a stattest alternative hypothesis, H_a represents the possibility that an observed effect or relationship is NOT due to random chance test statistic the more extreme this value is under the null hypothesis, H₀, the smaller the p-value MAT

04ef_4973

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

test statistic the more extreme this value is under the null hypothesis, H₀, the smaller the p-value p-value if this value is small, there is stronger evidence in favor of the alternative hypothesis, H_a null hypothesis, H₀ defines the distribution used for comparison in the test degrees of freedom the count of values free to vary once constraints are applied level of significance, α the probability cutoff used to decide whether to reject the null hypothesis, H₀ MAT

04ef_274b

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

degrees of freedom a parameter determined by sample size and the number of parameters p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H₀ level of significance, α the probability cutoff used to decide whether to reject the null hypothesis, H₀ alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is real and NOT random null hypothesis, H₀ this hypothesis defines the distribution used for comparison in the test MAT

04ef_a1f2

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

degrees of freedom a parameter based on sample size and estimated parameters or constraints alternative hypothesis, H_a can be TRUE even if the test fails to detect it (later called a Type II error) p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H₀ test statistic a function of the data designed to measure agreement or disagreement with the null hypothesis critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ MAT

04ef_bbec

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

alternative hypothesis, H_a can be TRUE even if the test fails to detect it (later called a Type II error) level of significance, α biologists often use a probability of 0.05 (5%) for this value critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H₀ test statistic if this value is large in the direction favoring the alternative hypothesis, H_a, there is stronger evidence against the null hypothesis, H₀ MAT

04ef_2dbf

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

null hypothesis, H₀ the hypothesis we want to reject in a stattest p-value if this value is small, there is stronger evidence in favor of the alternative hypothesis, H_a critical value found in a table for given degrees of freedom and level of significance, α degrees of freedom depends on sample size and restrictions from estimated parameters level of significance, α the cutoff for how small a p-value must be to reject the null hypothesis, H₀ MAT

04ef_33b5

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

null hypothesis, H₀ the hypothesis we want to reject in a stattest degrees of freedom a parameter based on sample size and estimated parameters or constraints alternative hypothesis, H_a represents the possibility that an observed effect or relationship is real and NOT random level of significance, α the probability cutoff that limits how often we mistakenly reject a TRUE null hypothesis, H₀ (later called a Type I error). critical value the cutoff used to compare against the observed test statistic MAT

04ef_a3ba

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

null hypothesis, H₀ defines the distribution used for comparison in the test critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is NOT due to random chance degrees of freedom the count of values free to vary once constraints are applied test statistic if this value is large in the direction favoring the alternative hypothesis, H_a, there is stronger evidence against the null hypothesis, H₀ MAT

04ef_92e2

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

null hypothesis, H₀ defines the reference distribution used for comparison degrees of freedom a parameter based on sample size and estimated parameters or constraints test statistic a function of the data computed to test the null hypothesis, H₀ p-value the probability, under the null hypothesis, H₀, of obtaining a result at least as extreme as the one observed critical value the cutoff used to compare against the observed test statistic MAT

04ef_9231

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

degrees of freedom depends on sample size and restrictions from estimated parameters test statistic if this value is large in the direction favoring the alternative hypothesis, H_a, there is stronger evidence against the null hypothesis, H₀ level of significance, α biologists often use a probability of 0.05 (5%) for this value critical value found in a table for given degrees of freedom and level of significance, α p-value smaller values typically correspond to more extreme test statistic values MAT

04ef_63d6

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

level of significance, α the probability cutoff used to decide whether to reject the null hypothesis, H₀ critical value found in a table for given degrees of freedom and level of significance, α degrees of freedom the count of values free to vary once constraints are applied test statistic a function of the data computed to test the null hypothesis, H₀ alternative hypothesis, H_a represents the possibility that an observed effect or relationship is NOT due to random chance MAT

04ef_85b8

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is NOT due to random chance critical value found in a table for given degrees of freedom and level of significance, α level of significance, α the cutoff for how small a p-value must be to reject the null hypothesis, H₀ degrees of freedom a parameter determined by sample size and the number of parameters test statistic if this value is large in the direction favoring the alternative hypothesis, H_a, there is stronger evidence against the null hypothesis, H₀ MAT

04ef_1a02

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

critical value the cutoff used to compare against the observed test statistic level of significance, α biologists often use a probability of 0.05 (5%) for this value alternative hypothesis, H_a the hypothesis we aim to support indirectly by rejecting another hypothesis null hypothesis, H₀ defines the distribution used for comparison in the test p-value smaller values typically correspond to more extreme test statistic values MAT

04ef_14bf

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

test statistic a function of the data computed to test the null hypothesis, H₀ p-value smaller values typically correspond to more extreme test statistic values level of significance, α the probability cutoff used to decide whether to reject the null hypothesis, H₀ alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is NOT due to random chance null hypothesis, H₀ this hypothesis defines the distribution used for comparison in the test MAT

04ef_2184

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

test statistic if this value is large in the direction favoring the alternative hypothesis, H_a, there is stronger evidence against the null hypothesis, H₀ critical value found in a table for given degrees of freedom and level of significance, α p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H₀ alternative hypothesis, H_a represents the possibility that an observed effect or relationship is real and NOT random degrees of freedom based on how many independent pieces of information are available MAT

04ef_fe7c

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

test statistic a function of the data computed to test the null hypothesis, H₀ p-value the probability, under the null hypothesis, H₀, of obtaining a result at least as extreme as the one observed critical value the cutoff used to compare against the observed test statistic null hypothesis, H₀ the hypothesis we want to reject in a stattest alternative hypothesis, H_a can be TRUE even if the test fails to detect it (later called a Type II error) MAT

04ef_bef3

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

degrees of freedom a parameter based on sample size and estimated parameters or constraints test statistic a function of the data computed to test the null hypothesis, H₀ p-value the probability, under the null hypothesis, H₀, of obtaining a result at least as extreme as the one observed alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is real and NOT random critical value the cutoff used to compare against the observed test statistic MAT

04ef_0812

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

degrees of freedom a parameter determined by sample size and the number of parameters test statistic the more extreme this value is under the null hypothesis, H₀, the smaller the p-value null hypothesis, H₀ defines the distribution used for comparison in the test critical value found in a table for given degrees of freedom and level of significance, α level of significance, α standard cutoff probability used to determine statistical significance MAT

04ef_9de7

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

alternative hypothesis, H_a represents the possibility that an observed effect or relationship is NOT due to random chance critical value found in a table for given degrees of freedom and level of significance, α test statistic a function of the data computed to test the null hypothesis, H₀ degrees of freedom a parameter determined by sample size and the number of parameters p-value smaller values typically correspond to more extreme test statistic values MAT

04ef_1806

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

alternative hypothesis, H_a the hypothesis we aim to support indirectly by rejecting another hypothesis degrees of freedom a parameter determined by sample size and the number of parameters null hypothesis, H₀ defines the distribution used for comparison in the test test statistic a function of the data designed to measure agreement or disagreement with the null hypothesis level of significance, α the probability cutoff that limits how often we mistakenly reject a TRUE null hypothesis, H₀ (later called a Type I error). MAT

04ef_1595

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

alternative hypothesis, H_a this hypothesis can sometimes be TRUE even when the test fails to detect it (later called a Type II error) critical value found in a table for given degrees of freedom and level of significance, α p-value smaller values typically correspond to more extreme test statistic values test statistic a function of the data designed to measure agreement or disagreement with the null hypothesis level of significance, α the probability cutoff that limits how often we mistakenly reject a TRUE null hypothesis, H₀ (later called a Type I error). MAT

04ef_86c0

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

degrees of freedom based on how many independent pieces of information are available alternative hypothesis, H_a this hypothesis can sometimes be TRUE even when the test fails to detect it (later called a Type II error) null hypothesis, H₀ defines the distribution used for comparison in the test level of significance, α the probability cutoff used to decide whether to reject the null hypothesis, H₀ test statistic if this value is large in the direction favoring the alternative hypothesis, H_a, there is stronger evidence against the null hypothesis, H₀ MAT

04ef_2348

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

critical value found in a table for given degrees of freedom and level of significance, α alternative hypothesis, H_a can be TRUE even if the test fails to detect it (later called a Type II error) test statistic the more extreme this value is under the null hypothesis, H₀, the smaller the p-value p-value the probability, under the null hypothesis, H₀, of obtaining a result at least as extreme as the one observed degrees of freedom a parameter determined by sample size and the number of parameters MAT

04ef_4631

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

test statistic a function of the data computed to test the null hypothesis, H₀ critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ degrees of freedom depends on sample size and restrictions from estimated parameters null hypothesis, H₀ the hypothesis we attempt to find evidence against in a stattest level of significance, α standard cutoff probability used to determine statistical significance MAT

04ef_edff

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ test statistic if this value is large in the direction favoring the alternative hypothesis, H_a, there is stronger evidence against the null hypothesis, H₀ p-value if this value is small, there is stronger evidence in favor of the alternative hypothesis, H_a null hypothesis, H₀ defines the distribution used for comparison in the test degrees of freedom the count of values free to vary once constraints are applied MAT

04ef_dda7

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

alternative hypothesis, H_a represents the possibility that an observed effect or relationship is real and NOT random critical value the cutoff used to compare against the observed test statistic p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H₀ null hypothesis, H₀ the hypothesis we want to reject in a stattest degrees of freedom a parameter based on sample size and estimated parameters or constraints MAT

04ef_d4bf

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

degrees of freedom a parameter determined by sample size and the number of parameters critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ alternative hypothesis, H_a the hypothesis we aim to support indirectly by rejecting another hypothesis test statistic a function of the data computed to test the null hypothesis, H₀ level of significance, α the probability cutoff used to decide whether to reject the null hypothesis, H₀ MAT

04ef_0a53

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

null hypothesis, H₀ the hypothesis we want to reject in a stattest alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is real and NOT random p-value the probability, under the null hypothesis, H₀, of obtaining a result at least as extreme as the one observed test statistic the more extreme this value is under the null hypothesis, H₀, the smaller the p-value critical value found in a table for given degrees of freedom and level of significance, α MAT

04ef_e218

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

alternative hypothesis, H_a this hypothesis can sometimes be TRUE even when the test fails to detect it (later called a Type II error) critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ p-value if this value is small, there is stronger evidence in favor of the alternative hypothesis, H_a level of significance, α the probability cutoff that limits how often we mistakenly reject a TRUE null hypothesis, H₀ (later called a Type I error). degrees of freedom depends on sample size and restrictions from estimated parameters MAT

04ef_f6a8

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

p-value if this value is small, there is stronger evidence in favor of the alternative hypothesis, H_a level of significance, α standard cutoff probability used to determine statistical significance test statistic a function of the data designed to measure agreement or disagreement with the null hypothesis alternative hypothesis, H_a the hypothesis we aim to support indirectly by rejecting another hypothesis null hypothesis, H₀ the hypothesis we attempt to find evidence against in a stattest MAT

04ef_00c9

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

degrees of freedom depends on sample size and restrictions from estimated parameters test statistic if this value is large in the direction favoring the alternative hypothesis, H_a, there is stronger evidence against the null hypothesis, H₀ level of significance, α the probability cutoff that limits how often we mistakenly reject a TRUE null hypothesis, H₀ (later called a Type I error). p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H₀ critical value found in a table for given degrees of freedom and level of significance, α MAT

04ef_c4aa

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

test statistic if this value is large in the direction favoring the alternative hypothesis, H_a, there is stronger evidence against the null hypothesis, H₀ alternative hypothesis, H_a can be TRUE even if the test fails to detect it (later called a Type II error) level of significance, α standard cutoff probability used to determine statistical significance p-value if this value is small, there is stronger evidence in favor of the alternative hypothesis, H_a degrees of freedom a parameter based on sample size and estimated parameters or constraints MAT

04ef_3ea7

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

test statistic a function of the data designed to measure agreement or disagreement with the null hypothesis level of significance, α the probability cutoff that limits how often we mistakenly reject a TRUE null hypothesis, H₀ (later called a Type I error). critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ degrees of freedom the count of values free to vary once constraints are applied p-value if this value is small, there is stronger evidence in favor of the alternative hypothesis, H_a MAT

04ef_3660

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

alternative hypothesis, H_a can be TRUE even if the test fails to detect it (later called a Type II error) p-value the probability, under the null hypothesis, H₀, of obtaining a result at least as extreme as the one observed critical value the cutoff used to compare against the observed test statistic level of significance, α the probability cutoff that limits how often we mistakenly reject a TRUE null hypothesis, H₀ (later called a Type I error). degrees of freedom based on how many independent pieces of information are available MAT

04ef_327c

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

test statistic a function of the data designed to measure agreement or disagreement with the null hypothesis critical value found in a table for given degrees of freedom and level of significance, α null hypothesis, H₀ defines the reference distribution used for comparison alternative hypothesis, H_a this hypothesis can sometimes be TRUE even when the test fails to detect it (later called a Type II error) p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H₀ MAT

04ef_ed53

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

p-value smaller values typically correspond to more extreme test statistic values null hypothesis, H₀ defines the reference distribution used for comparison alternative hypothesis, H_a represents the possibility that an observed effect or relationship is NOT due to random chance test statistic a function of the data designed to measure agreement or disagreement with the null hypothesis critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ MAT

04ef_d2a4

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H₀ critical value found in a table for given degrees of freedom and level of significance, α test statistic if this value is large in the direction favoring the alternative hypothesis, H_a, there is stronger evidence against the null hypothesis, H₀ null hypothesis, H₀ defines the distribution used for comparison in the test degrees of freedom a parameter based on sample size and estimated parameters or constraints MAT

04ef_d5a6

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

test statistic the more extreme this value is under the null hypothesis, H₀, the smaller the p-value alternative hypothesis, H_a this hypothesis can sometimes be TRUE even when the test fails to detect it (later called a Type II error) degrees of freedom a parameter based on sample size and estimated parameters or constraints null hypothesis, H₀ this hypothesis defines the distribution used for comparison in the test level of significance, α the cutoff for how small a p-value must be to reject the null hypothesis, H₀ MAT

04ef_7461

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

critical value the cutoff used to compare against the observed test statistic test statistic the more extreme this value is under the null hypothesis, H₀, the smaller the p-value null hypothesis, H₀ defines the reference distribution used for comparison level of significance, α the probability cutoff that limits how often we mistakenly reject a TRUE null hypothesis, H₀ (later called a Type I error). degrees of freedom based on how many independent pieces of information are available MAT

04ef_06a3

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

alternative hypothesis, H_a this hypothesis can sometimes be TRUE even when the test fails to detect it (later called a Type II error) critical value found in a table for given degrees of freedom and level of significance, α null hypothesis, H₀ defines the reference distribution used for comparison level of significance, α the probability cutoff that limits how often we mistakenly reject a TRUE null hypothesis, H₀ (later called a Type I error). degrees of freedom the count of values free to vary once constraints are applied MAT

04ef_f51c

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

degrees of freedom the count of values free to vary once constraints are applied critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is real and NOT random test statistic if this value is large in the direction favoring the alternative hypothesis, H_a, there is stronger evidence against the null hypothesis, H₀ p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H₀ MAT

04ef_481d

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

null hypothesis, H₀ this hypothesis defines the distribution used for comparison in the test alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is NOT due to random chance test statistic a function of the data designed to measure agreement or disagreement with the null hypothesis p-value if this value is small, there is stronger evidence in favor of the alternative hypothesis, H_a critical value the cutoff used to compare against the observed test statistic MAT

04ef_19bd

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

level of significance, α standard cutoff probability used to determine statistical significance alternative hypothesis, H_a can be TRUE even if the test fails to detect it (later called a Type II error) p-value the probability, under the null hypothesis, H₀, of obtaining a result at least as extreme as the one observed degrees of freedom a parameter based on sample size and estimated parameters or constraints critical value the cutoff used to compare against the observed test statistic MAT

04ef_ed3c

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is real and NOT random p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H₀ test statistic if this value is large in the direction favoring the alternative hypothesis, H_a, there is stronger evidence against the null hypothesis, H₀ critical value the cutoff used to compare against the observed test statistic null hypothesis, H₀ this hypothesis defines the distribution used for comparison in the test MAT

04ef_bfcb

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ test statistic a function of the data designed to measure agreement or disagreement with the null hypothesis degrees of freedom the count of values free to vary once constraints are applied null hypothesis, H₀ defines the distribution used for comparison in the test level of significance, α the probability cutoff used to decide whether to reject the null hypothesis, H₀ MAT

04ef_0198

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

degrees of freedom based on how many independent pieces of information are available alternative hypothesis, H_a represents the possibility that an observed effect or relationship is real and NOT random critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ level of significance, α the probability cutoff that limits how often we mistakenly reject a TRUE null hypothesis, H₀ (later called a Type I error). test statistic a function of the data computed to test the null hypothesis, H₀ MAT

04ef_b5cc

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is NOT due to random chance degrees of freedom a parameter based on sample size and estimated parameters or constraints critical value the cutoff used to compare against the observed test statistic level of significance, α the probability cutoff that limits how often we mistakenly reject a TRUE null hypothesis, H₀ (later called a Type I error). test statistic a function of the data computed to test the null hypothesis, H₀ MAT

04ef_a974

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

test statistic a function of the data computed to test the null hypothesis, H₀ level of significance, α the cutoff for how small a p-value must be to reject the null hypothesis, H₀ alternative hypothesis, H_a this hypothesis can sometimes be TRUE even when the test fails to detect it (later called a Type II error) degrees of freedom a parameter determined by sample size and the number of parameters p-value the probability, under the null hypothesis, H₀, of obtaining a result at least as extreme as the one observed MAT

04ef_24ee

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

degrees of freedom the count of values free to vary once constraints are applied level of significance, α the probability cutoff that limits how often we mistakenly reject a TRUE null hypothesis, H₀ (later called a Type I error). test statistic the more extreme this value is under the null hypothesis, H₀, the smaller the p-value critical value the cutoff used to compare against the observed test statistic null hypothesis, H₀ the hypothesis we attempt to find evidence against in a stattest MAT

04ef_025f

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

level of significance, α the cutoff for how small a p-value must be to reject the null hypothesis, H₀ alternative hypothesis, H_a can be TRUE even if the test fails to detect it (later called a Type II error) p-value the probability, under the null hypothesis, H₀, of obtaining a result at least as extreme as the one observed null hypothesis, H₀ defines the reference distribution used for comparison test statistic the more extreme this value is under the null hypothesis, H₀, the smaller the p-value MAT

04ef_9af0

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is NOT due to random chance null hypothesis, H₀ defines the distribution used for comparison in the test p-value the probability, under the null hypothesis, H₀, of obtaining a result at least as extreme as the one observed degrees of freedom the count of values free to vary once constraints are applied test statistic a function of the data designed to measure agreement or disagreement with the null hypothesis MAT

04ef_4dd7

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

degrees of freedom a parameter determined by sample size and the number of parameters level of significance, α the probability cutoff that limits how often we mistakenly reject a TRUE null hypothesis, H₀ (later called a Type I error). alternative hypothesis, H_a the hypothesis we aim to support indirectly by rejecting another hypothesis test statistic a function of the data designed to measure agreement or disagreement with the null hypothesis null hypothesis, H₀ defines the distribution used for comparison in the test MAT

04ef_d47e

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

level of significance, α the probability cutoff used to decide whether to reject the null hypothesis, H₀ critical value the cutoff used to compare against the observed test statistic degrees of freedom based on how many independent pieces of information are available p-value the probability, under the null hypothesis, H₀, of obtaining a result at least as extreme as the one observed alternative hypothesis, H_a can be TRUE even if the test fails to detect it (later called a Type II error) MAT

04ef_0ba7

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

level of significance, α standard cutoff probability used to determine statistical significance p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H₀ null hypothesis, H₀ defines the distribution used for comparison in the test degrees of freedom the count of values free to vary once constraints are applied test statistic a function of the data computed to test the null hypothesis, H₀ MAT

04ef_784a

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

alternative hypothesis, H_a the hypothesis we aim to support indirectly by rejecting another hypothesis degrees of freedom a parameter based on sample size and estimated parameters or constraints null hypothesis, H₀ defines the distribution used for comparison in the test critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H₀ MAT

04ef_dd24

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

level of significance, α standard cutoff probability used to determine statistical significance critical value found in a table for given degrees of freedom and level of significance, α degrees of freedom the count of values free to vary once constraints are applied null hypothesis, H₀ defines the reference distribution used for comparison p-value if this value is small, there is stronger evidence in favor of the alternative hypothesis, H_a MAT

04ef_4016

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

level of significance, α biologists often use a probability of 0.05 (5%) for this value critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H₀ null hypothesis, H₀ the hypothesis we attempt to find evidence against in a stattest degrees of freedom a parameter based on sample size and estimated parameters or constraints MAT

04ef_f952

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

null hypothesis, H₀ this hypothesis defines the distribution used for comparison in the test alternative hypothesis, H_a this hypothesis can sometimes be TRUE even when the test fails to detect it (later called a Type II error) critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ p-value the probability, under the null hypothesis, H₀, of obtaining a result at least as extreme as the one observed degrees of freedom depends on sample size and restrictions from estimated parameters MAT

04ef_290d

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

test statistic the more extreme this value is under the null hypothesis, H₀, the smaller the p-value level of significance, α biologists often use a probability of 0.05 (5%) for this value alternative hypothesis, H_a represents the possibility that an observed effect or relationship is NOT due to random chance p-value smaller values typically correspond to more extreme test statistic values null hypothesis, H₀ the hypothesis we want to reject in a stattest MAT

04ef_c7bd

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

level of significance, α biologists often use a probability of 0.05 (5%) for this value null hypothesis, H₀ this hypothesis defines the distribution used for comparison in the test critical value found in a table for given degrees of freedom and level of significance, α p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H₀ degrees of freedom depends on sample size and restrictions from estimated parameters MAT

04ef_e8e6

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

test statistic a function of the data computed to test the null hypothesis, H₀ null hypothesis, H₀ defines the distribution used for comparison in the test p-value the probability, under the null hypothesis, H₀, of obtaining a result at least as extreme as the one observed level of significance, α the probability cutoff that limits how often we mistakenly reject a TRUE null hypothesis, H₀ (later called a Type I error). critical value the cutoff used to compare against the observed test statistic MAT

04ef_6edb

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

critical value found in a table for given degrees of freedom and level of significance, α null hypothesis, H₀ this hypothesis defines the distribution used for comparison in the test test statistic a function of the data computed to test the null hypothesis, H₀ p-value if this value is small, there is stronger evidence in favor of the alternative hypothesis, H_a level of significance, α standard cutoff probability used to determine statistical significance MAT

04ef_1f9d

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

test statistic the more extreme this value is under the null hypothesis, H₀, the smaller the p-value p-value if this value is small, there is stronger evidence in favor of the alternative hypothesis, H_a critical value the cutoff used to compare against the observed test statistic alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is real and NOT random level of significance, α the cutoff for how small a p-value must be to reject the null hypothesis, H₀ MAT

04ef_d250

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

null hypothesis, H₀ the hypothesis we attempt to find evidence against in a stattest degrees of freedom a parameter based on sample size and estimated parameters or constraints critical value found in a table for given degrees of freedom and level of significance, α level of significance, α standard cutoff probability used to determine statistical significance alternative hypothesis, H_a represents the possibility that an observed effect or relationship is real and NOT random MAT

04ef_c393

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

degrees of freedom depends on sample size and restrictions from estimated parameters level of significance, α the cutoff for how small a p-value must be to reject the null hypothesis, H₀ test statistic the more extreme this value is under the null hypothesis, H₀, the smaller the p-value alternative hypothesis, H_a represents the possibility that an observed effect or relationship is real and NOT random critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ MAT

04ef_8187

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

degrees of freedom a parameter based on sample size and estimated parameters or constraints null hypothesis, H₀ the hypothesis we want to reject in a stattest test statistic a function of the data designed to measure agreement or disagreement with the null hypothesis critical value found in a table for given degrees of freedom and level of significance, α p-value if this value is small, there is stronger evidence in favor of the alternative hypothesis, H_a MAT

04ef_268f

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

null hypothesis, H₀ the hypothesis we want to reject in a stattest alternative hypothesis, H_a the hypothesis we aim to support indirectly by rejecting another hypothesis degrees of freedom the count of values free to vary once constraints are applied critical value the cutoff used to compare against the observed test statistic level of significance, α standard cutoff probability used to determine statistical significance MAT

04ef_956f

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

critical value found in a table for given degrees of freedom and level of significance, α test statistic a function of the data computed to test the null hypothesis, H₀ p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H₀ alternative hypothesis, H_a can be TRUE even if the test fails to detect it (later called a Type II error) degrees of freedom the count of values free to vary once constraints are applied MAT

04ef_7db1

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

test statistic the more extreme this value is under the null hypothesis, H₀, the smaller the p-value degrees of freedom based on how many independent pieces of information are available critical value found in a table for given degrees of freedom and level of significance, α null hypothesis, H₀ the hypothesis we attempt to find evidence against in a stattest level of significance, α the probability cutoff used to decide whether to reject the null hypothesis, H₀ MAT

04ef_582b

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

alternative hypothesis, H_a the hypothesis we aim to support indirectly by rejecting another hypothesis level of significance, α the probability cutoff used to decide whether to reject the null hypothesis, H₀ test statistic if this value is large in the direction favoring the alternative hypothesis, H_a, there is stronger evidence against the null hypothesis, H₀ null hypothesis, H₀ the hypothesis we attempt to find evidence against in a stattest degrees of freedom a parameter determined by sample size and the number of parameters MAT

04ef_0e5e

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

test statistic the more extreme this value is under the null hypothesis, H₀, the smaller the p-value p-value smaller values typically correspond to more extreme test statistic values level of significance, α the probability cutoff that limits how often we mistakenly reject a TRUE null hypothesis, H₀ (later called a Type I error). critical value the cutoff used to compare against the observed test statistic null hypothesis, H₀ this hypothesis defines the distribution used for comparison in the test MAT

04ef_ef00

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

alternative hypothesis, H_a this hypothesis can sometimes be TRUE even when the test fails to detect it (later called a Type II error) test statistic if this value is large in the direction favoring the alternative hypothesis, H_a, there is stronger evidence against the null hypothesis, H₀ level of significance, α the cutoff for how small a p-value must be to reject the null hypothesis, H₀ degrees of freedom based on how many independent pieces of information are available p-value if this value is small, there is stronger evidence in favor of the alternative hypothesis, H_a MAT

04ef_47b5

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

null hypothesis, H₀ defines the distribution used for comparison in the test critical value found in a table for given degrees of freedom and level of significance, α test statistic a function of the data designed to measure agreement or disagreement with the null hypothesis degrees of freedom depends on sample size and restrictions from estimated parameters alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is real and NOT random MAT

04ef_e549

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

degrees of freedom a parameter based on sample size and estimated parameters or constraints test statistic the more extreme this value is under the null hypothesis, H₀, the smaller the p-value null hypothesis, H₀ the hypothesis we attempt to find evidence against in a stattest level of significance, α the probability cutoff used to decide whether to reject the null hypothesis, H₀ alternative hypothesis, H_a represents the possibility that an observed effect or relationship is NOT due to random chance MAT

04ef_9b5f

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

degrees of freedom the count of values free to vary once constraints are applied level of significance, α biologists often use a probability of 0.05 (5%) for this value alternative hypothesis, H_a represents the possibility that an observed effect or relationship is real and NOT random p-value the probability, under the null hypothesis, H₀, of obtaining a result at least as extreme as the one observed null hypothesis, H₀ defines the distribution used for comparison in the test MAT

04ef_4cf6

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

null hypothesis, H₀ defines the distribution used for comparison in the test degrees of freedom a parameter based on sample size and estimated parameters or constraints critical value the cutoff used to compare against the observed test statistic test statistic a function of the data computed to test the null hypothesis, H₀ level of significance, α biologists often use a probability of 0.05 (5%) for this value MAT

04ef_a6f5

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H₀ test statistic a function of the data computed to test the null hypothesis, H₀ critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ degrees of freedom the count of values free to vary once constraints are applied alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is NOT due to random chance MAT

04ef_7e06

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

alternative hypothesis, H_a this hypothesis can sometimes be TRUE even when the test fails to detect it (later called a Type II error) level of significance, α the probability cutoff that limits how often we mistakenly reject a TRUE null hypothesis, H₀ (later called a Type I error). p-value the probability, under the null hypothesis, H₀, of obtaining a result at least as extreme as the one observed degrees of freedom a parameter based on sample size and estimated parameters or constraints test statistic a function of the data designed to measure agreement or disagreement with the null hypothesis MAT

04ef_80a8

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

p-value if this value is small, there is stronger evidence in favor of the alternative hypothesis, H_a null hypothesis, H₀ the hypothesis we attempt to find evidence against in a stattest level of significance, α the probability cutoff that limits how often we mistakenly reject a TRUE null hypothesis, H₀ (later called a Type I error). degrees of freedom the count of values free to vary once constraints are applied alternative hypothesis, H_a represents the possibility that an observed effect or relationship is real and NOT random MAT

04ef_bb80

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

degrees of freedom depends on sample size and restrictions from estimated parameters test statistic the more extreme this value is under the null hypothesis, H₀, the smaller the p-value p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H₀ alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is NOT due to random chance critical value found in a table for given degrees of freedom and level of significance, α MAT

04ef_03ca

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

level of significance, α the cutoff for how small a p-value must be to reject the null hypothesis, H₀ alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is NOT due to random chance test statistic if this value is large in the direction favoring the alternative hypothesis, H_a, there is stronger evidence against the null hypothesis, H₀ p-value the probability, under the null hypothesis, H₀, of obtaining a result at least as extreme as the one observed null hypothesis, H₀ defines the distribution used for comparison in the test MAT

04ef_2c05

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

null hypothesis, H₀ this hypothesis defines the distribution used for comparison in the test critical value found in a table for given degrees of freedom and level of significance, α degrees of freedom based on how many independent pieces of information are available p-value if this value is small, there is stronger evidence in favor of the alternative hypothesis, H_a level of significance, α the cutoff for how small a p-value must be to reject the null hypothesis, H₀ MAT

04ef_1e59

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

level of significance, α the cutoff for how small a p-value must be to reject the null hypothesis, H₀ test statistic the more extreme this value is under the null hypothesis, H₀, the smaller the p-value critical value the cutoff used to compare against the observed test statistic p-value the probability, under the null hypothesis, H₀, of obtaining a result at least as extreme as the one observed degrees of freedom a parameter based on sample size and estimated parameters or constraints MAT

04ef_7e87

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ null hypothesis, H₀ the hypothesis we attempt to find evidence against in a stattest degrees of freedom the count of values free to vary once constraints are applied alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is NOT due to random chance level of significance, α the probability cutoff that limits how often we mistakenly reject a TRUE null hypothesis, H₀ (later called a Type I error). MAT

04ef_6508

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

null hypothesis, H₀ defines the reference distribution used for comparison alternative hypothesis, H_a the hypothesis we aim to support indirectly by rejecting another hypothesis test statistic a function of the data designed to measure agreement or disagreement with the null hypothesis critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ level of significance, α the probability cutoff used to decide whether to reject the null hypothesis, H₀ MAT

04ef_8b56

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

null hypothesis, H₀ defines the reference distribution used for comparison degrees of freedom the count of values free to vary once constraints are applied critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ test statistic if this value is large in the direction favoring the alternative hypothesis, H_a, there is stronger evidence against the null hypothesis, H₀ alternative hypothesis, H_a can be TRUE even if the test fails to detect it (later called a Type II error) MAT

04ef_ee6f

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

null hypothesis, H₀ the hypothesis we want to reject in a stattest critical value the cutoff used to compare against the observed test statistic degrees of freedom depends on sample size and restrictions from estimated parameters level of significance, α the cutoff for how small a p-value must be to reject the null hypothesis, H₀ alternative hypothesis, H_a represents the possibility that an observed effect or relationship is real and NOT random MAT

04ef_b233

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

p-value if this value is small, there is stronger evidence in favor of the alternative hypothesis, H_a alternative hypothesis, H_a this hypothesis can sometimes be TRUE even when the test fails to detect it (later called a Type II error) null hypothesis, H₀ this hypothesis defines the distribution used for comparison in the test test statistic the more extreme this value is under the null hypothesis, H₀, the smaller the p-value degrees of freedom a parameter determined by sample size and the number of parameters MAT

04ef_2ee3

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

p-value the probability, under the null hypothesis, H₀, of obtaining a result at least as extreme as the one observed test statistic if this value is large in the direction favoring the alternative hypothesis, H_a, there is stronger evidence against the null hypothesis, H₀ level of significance, α the probability cutoff that limits how often we mistakenly reject a TRUE null hypothesis, H₀ (later called a Type I error). degrees of freedom depends on sample size and restrictions from estimated parameters alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is NOT due to random chance MAT

04ef_4b18

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

degrees of freedom depends on sample size and restrictions from estimated parameters critical value the cutoff used to compare against the observed test statistic null hypothesis, H₀ the hypothesis we attempt to find evidence against in a stattest test statistic if this value is large in the direction favoring the alternative hypothesis, H_a, there is stronger evidence against the null hypothesis, H₀ alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is NOT due to random chance MAT

04ef_a649

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

test statistic a function of the data computed to test the null hypothesis, H₀ degrees of freedom depends on sample size and restrictions from estimated parameters alternative hypothesis, H_a the hypothesis we aim to support indirectly by rejecting another hypothesis critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H₀ MAT

04ef_9a0e

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

p-value the probability, under the null hypothesis, H₀, of obtaining a result at least as extreme as the one observed critical value the cutoff used to compare against the observed test statistic null hypothesis, H₀ the hypothesis we attempt to find evidence against in a stattest test statistic a function of the data computed to test the null hypothesis, H₀ degrees of freedom a parameter determined by sample size and the number of parameters MAT

04ef_8548

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

p-value if this value is small, there is stronger evidence in favor of the alternative hypothesis, H_a alternative hypothesis, H_a represents the possibility that an observed effect or relationship is real and NOT random null hypothesis, H₀ this hypothesis defines the distribution used for comparison in the test level of significance, α biologists often use a probability of 0.05 (5%) for this value critical value the cutoff used to compare against the observed test statistic MAT

04ef_09e8

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

test statistic a function of the data designed to measure agreement or disagreement with the null hypothesis level of significance, α standard cutoff probability used to determine statistical significance alternative hypothesis, H_a this hypothesis can sometimes be TRUE even when the test fails to detect it (later called a Type II error) degrees of freedom the count of values free to vary once constraints are applied p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H₀ MAT

04ef_6ef6

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

level of significance, α standard cutoff probability used to determine statistical significance p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H₀ null hypothesis, H₀ this hypothesis defines the distribution used for comparison in the test degrees of freedom depends on sample size and restrictions from estimated parameters critical value the cutoff used to compare against the observed test statistic MAT

04ef_20bc

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

level of significance, α the cutoff for how small a p-value must be to reject the null hypothesis, H₀ test statistic the more extreme this value is under the null hypothesis, H₀, the smaller the p-value null hypothesis, H₀ this hypothesis defines the distribution used for comparison in the test degrees of freedom a parameter determined by sample size and the number of parameters alternative hypothesis, H_a represents the possibility that an observed effect or relationship is NOT due to random chance MAT

04ef_93e4

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is real and NOT random degrees of freedom based on how many independent pieces of information are available level of significance, α standard cutoff probability used to determine statistical significance critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ null hypothesis, H₀ this hypothesis defines the distribution used for comparison in the test MAT

04ef_95f6

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ degrees of freedom a parameter determined by sample size and the number of parameters alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is NOT due to random chance test statistic if this value is large in the direction favoring the alternative hypothesis, H_a, there is stronger evidence against the null hypothesis, H₀ level of significance, α the cutoff for how small a p-value must be to reject the null hypothesis, H₀ MAT

04ef_949a

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

test statistic if this value is large in the direction favoring the alternative hypothesis, H_a, there is stronger evidence against the null hypothesis, H₀ critical value the cutoff used to compare against the observed test statistic alternative hypothesis, H_a represents the possibility that an observed effect or relationship is NOT due to random chance degrees of freedom a parameter determined by sample size and the number of parameters null hypothesis, H₀ this hypothesis defines the distribution used for comparison in the test MAT

04ef_084a

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

p-value smaller values typically correspond to more extreme test statistic values test statistic a function of the data computed to test the null hypothesis, H₀ null hypothesis, H₀ this hypothesis defines the distribution used for comparison in the test degrees of freedom a parameter determined by sample size and the number of parameters critical value found in a table for given degrees of freedom and level of significance, α MAT

04ef_09ad

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

degrees of freedom a parameter determined by sample size and the number of parameters p-value the probability, under the null hypothesis, H₀, of obtaining a result at least as extreme as the one observed null hypothesis, H₀ defines the distribution used for comparison in the test critical value the cutoff used to compare against the observed test statistic level of significance, α the cutoff for how small a p-value must be to reject the null hypothesis, H₀ MAT

04ef_17d3

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

p-value if this value is small, there is stronger evidence in favor of the alternative hypothesis, H_a null hypothesis, H₀ this hypothesis defines the distribution used for comparison in the test test statistic if this value is large in the direction favoring the alternative hypothesis, H_a, there is stronger evidence against the null hypothesis, H₀ critical value the cutoff used to compare against the observed test statistic level of significance, α the probability cutoff that limits how often we mistakenly reject a TRUE null hypothesis, H₀ (later called a Type I error). MAT

04ef_9e6d

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

p-value smaller values typically correspond to more extreme test statistic values alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is real and NOT random level of significance, α biologists often use a probability of 0.05 (5%) for this value degrees of freedom the count of values free to vary once constraints are applied test statistic a function of the data computed to test the null hypothesis, H₀ MAT

04ef_a51d

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

test statistic a function of the data designed to measure agreement or disagreement with the null hypothesis critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ alternative hypothesis, H_a can be TRUE even if the test fails to detect it (later called a Type II error) p-value if this value is small, there is stronger evidence in favor of the alternative hypothesis, H_a degrees of freedom a parameter based on sample size and estimated parameters or constraints MAT

04ef_e4d6

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

null hypothesis, H₀ the hypothesis we want to reject in a stattest critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ alternative hypothesis, H_a this hypothesis can sometimes be TRUE even when the test fails to detect it (later called a Type II error) p-value the probability, under the null hypothesis, H₀, of obtaining a result at least as extreme as the one observed level of significance, α the cutoff for how small a p-value must be to reject the null hypothesis, H₀ MAT

04ef_1644

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

degrees of freedom the count of values free to vary once constraints are applied test statistic a function of the data computed to test the null hypothesis, H₀ alternative hypothesis, H_a represents the possibility that an observed effect or relationship is NOT due to random chance null hypothesis, H₀ defines the distribution used for comparison in the test level of significance, α standard cutoff probability used to determine statistical significance MAT

04ef_82ac

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

test statistic if this value is large in the direction favoring the alternative hypothesis, H_a, there is stronger evidence against the null hypothesis, H₀ degrees of freedom a parameter determined by sample size and the number of parameters critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ null hypothesis, H₀ the hypothesis we attempt to find evidence against in a stattest level of significance, α the cutoff for how small a p-value must be to reject the null hypothesis, H₀ MAT

04ef_03ab

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

degrees of freedom based on how many independent pieces of information are available test statistic a function of the data computed to test the null hypothesis, H₀ level of significance, α the probability cutoff that limits how often we mistakenly reject a TRUE null hypothesis, H₀ (later called a Type I error). null hypothesis, H₀ defines the reference distribution used for comparison critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ MAT

04ef_fd77

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

p-value if this value is small, there is stronger evidence in favor of the alternative hypothesis, H_a test statistic a function of the data designed to measure agreement or disagreement with the null hypothesis degrees of freedom the count of values free to vary once constraints are applied alternative hypothesis, H_a represents the possibility that an observed effect or relationship is real and NOT random null hypothesis, H₀ defines the distribution used for comparison in the test MAT

04ef_fe9f

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is NOT due to random chance p-value if this value is small, there is stronger evidence in favor of the alternative hypothesis, H_a level of significance, α the probability cutoff used to decide whether to reject the null hypothesis, H₀ critical value found in a table for given degrees of freedom and level of significance, α test statistic a function of the data computed to test the null hypothesis, H₀ MAT

04ef_2028

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

degrees of freedom a parameter based on sample size and estimated parameters or constraints level of significance, α the probability cutoff used to decide whether to reject the null hypothesis, H₀ alternative hypothesis, H_a represents the possibility that an observed effect or relationship is NOT due to random chance critical value the cutoff used to compare against the observed test statistic test statistic a function of the data computed to test the null hypothesis, H₀ MAT

04ef_8bdb

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

alternative hypothesis, H_a the hypothesis we aim to support indirectly by rejecting another hypothesis p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H₀ test statistic a function of the data designed to measure agreement or disagreement with the null hypothesis null hypothesis, H₀ defines the reference distribution used for comparison level of significance, α biologists often use a probability of 0.05 (5%) for this value MAT

04ef_ca1d

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ degrees of freedom depends on sample size and restrictions from estimated parameters null hypothesis, H₀ defines the distribution used for comparison in the test alternative hypothesis, H_a this hypothesis can sometimes be TRUE even when the test fails to detect it (later called a Type II error) p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H₀ MAT

04ef_c400

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

null hypothesis, H₀ the hypothesis we want to reject in a stattest level of significance, α the probability cutoff used to decide whether to reject the null hypothesis, H₀ alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is real and NOT random test statistic a function of the data designed to measure agreement or disagreement with the null hypothesis degrees of freedom depends on sample size and restrictions from estimated parameters MAT

04ef_853d

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

null hypothesis, H₀ the hypothesis we want to reject in a stattest alternative hypothesis, H_a can be TRUE even if the test fails to detect it (later called a Type II error) level of significance, α standard cutoff probability used to determine statistical significance degrees of freedom a parameter based on sample size and estimated parameters or constraints p-value if this value is small, there is stronger evidence in favor of the alternative hypothesis, H_a MAT

04ef_839a

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

level of significance, α standard cutoff probability used to determine statistical significance degrees of freedom depends on sample size and restrictions from estimated parameters critical value found in a table for given degrees of freedom and level of significance, α alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is NOT due to random chance null hypothesis, H₀ the hypothesis we attempt to find evidence against in a stattest MAT

04ef_1095

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is NOT due to random chance critical value the cutoff used to compare against the observed test statistic p-value smaller values typically correspond to more extreme test statistic values degrees of freedom the count of values free to vary once constraints are applied test statistic the more extreme this value is under the null hypothesis, H₀, the smaller the p-value MAT

04ef_d50f

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

test statistic the more extreme this value is under the null hypothesis, H₀, the smaller the p-value critical value the cutoff used to compare against the observed test statistic p-value smaller values typically correspond to more extreme test statistic values null hypothesis, H₀ this hypothesis defines the distribution used for comparison in the test alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is NOT due to random chance MAT

04ef_fed9

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

null hypothesis, H₀ the hypothesis we want to reject in a stattest degrees of freedom based on how many independent pieces of information are available level of significance, α biologists often use a probability of 0.05 (5%) for this value critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ p-value if this value is small, there is stronger evidence in favor of the alternative hypothesis, H_a MAT

04ef_f787

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

level of significance, α standard cutoff probability used to determine statistical significance null hypothesis, H₀ the hypothesis we want to reject in a stattest alternative hypothesis, H_a the hypothesis we aim to support indirectly by rejecting another hypothesis p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H₀ degrees of freedom a parameter based on sample size and estimated parameters or constraints MAT

04ef_746d

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

critical value the cutoff used to compare against the observed test statistic p-value smaller values typically correspond to more extreme test statistic values alternative hypothesis, H_a can be TRUE even if the test fails to detect it (later called a Type II error) null hypothesis, H₀ the hypothesis we attempt to find evidence against in a stattest test statistic if this value is large in the direction favoring the alternative hypothesis, H_a, there is stronger evidence against the null hypothesis, H₀ MAT

04ef_3526

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

level of significance, α biologists often use a probability of 0.05 (5%) for this value degrees of freedom depends on sample size and restrictions from estimated parameters test statistic the more extreme this value is under the null hypothesis, H₀, the smaller the p-value null hypothesis, H₀ this hypothesis defines the distribution used for comparison in the test critical value the cutoff used to compare against the observed test statistic MAT

04ef_a099

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

p-value the probability, under the null hypothesis, H₀, of obtaining a result at least as extreme as the one observed test statistic a function of the data designed to measure agreement or disagreement with the null hypothesis degrees of freedom a parameter determined by sample size and the number of parameters alternative hypothesis, H_a this hypothesis can sometimes be TRUE even when the test fails to detect it (later called a Type II error) level of significance, α biologists often use a probability of 0.05 (5%) for this value MAT

04ef_1c75

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

level of significance, α the probability cutoff that limits how often we mistakenly reject a TRUE null hypothesis, H₀ (later called a Type I error). alternative hypothesis, H_a can be TRUE even if the test fails to detect it (later called a Type II error) test statistic a function of the data designed to measure agreement or disagreement with the null hypothesis null hypothesis, H₀ the hypothesis we want to reject in a stattest p-value smaller values typically correspond to more extreme test statistic values MAT

04ef_9da8

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

alternative hypothesis, H_a this hypothesis can sometimes be TRUE even when the test fails to detect it (later called a Type II error) test statistic if this value is large in the direction favoring the alternative hypothesis, H_a, there is stronger evidence against the null hypothesis, H₀ critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ degrees of freedom a parameter determined by sample size and the number of parameters level of significance, α the probability cutoff used to decide whether to reject the null hypothesis, H₀ MAT

04ef_d277

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is NOT due to random chance critical value found in a table for given degrees of freedom and level of significance, α p-value the probability, under the null hypothesis, H₀, of obtaining a result at least as extreme as the one observed level of significance, α the cutoff for how small a p-value must be to reject the null hypothesis, H₀ null hypothesis, H₀ the hypothesis we want to reject in a stattest MAT

04ef_58b1

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

test statistic a function of the data designed to measure agreement or disagreement with the null hypothesis null hypothesis, H₀ the hypothesis we want to reject in a stattest critical value the cutoff used to compare against the observed test statistic degrees of freedom the count of values free to vary once constraints are applied p-value smaller values typically correspond to more extreme test statistic values MAT

04ef_ce06

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

degrees of freedom depends on sample size and restrictions from estimated parameters test statistic a function of the data designed to measure agreement or disagreement with the null hypothesis critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ level of significance, α the probability cutoff that limits how often we mistakenly reject a TRUE null hypothesis, H₀ (later called a Type I error). null hypothesis, H₀ defines the distribution used for comparison in the test MAT

04ef_f895

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

level of significance, α the cutoff for how small a p-value must be to reject the null hypothesis, H₀ test statistic a function of the data designed to measure agreement or disagreement with the null hypothesis alternative hypothesis, H_a the hypothesis we aim to support indirectly by rejecting another hypothesis null hypothesis, H₀ the hypothesis we attempt to find evidence against in a stattest p-value smaller values typically correspond to more extreme test statistic values MAT

04ef_64a8

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

p-value if this value is small, there is stronger evidence in favor of the alternative hypothesis, H_a alternative hypothesis, H_a this hypothesis can sometimes be TRUE even when the test fails to detect it (later called a Type II error) level of significance, α biologists often use a probability of 0.05 (5%) for this value null hypothesis, H₀ this hypothesis defines the distribution used for comparison in the test critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ MAT

04ef_4dc2

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

critical value found in a table for given degrees of freedom and level of significance, α alternative hypothesis, H_a can be TRUE even if the test fails to detect it (later called a Type II error) p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H₀ level of significance, α the probability cutoff that limits how often we mistakenly reject a TRUE null hypothesis, H₀ (later called a Type I error). null hypothesis, H₀ this hypothesis defines the distribution used for comparison in the test MAT

04ef_1a11

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

null hypothesis, H₀ defines the distribution used for comparison in the test test statistic a function of the data computed to test the null hypothesis, H₀ p-value smaller values typically correspond to more extreme test statistic values critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ degrees of freedom depends on sample size and restrictions from estimated parameters MAT

04ef_c197

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H₀ test statistic a function of the data computed to test the null hypothesis, H₀ null hypothesis, H₀ the hypothesis we want to reject in a stattest level of significance, α standard cutoff probability used to determine statistical significance alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is real and NOT random MAT

04ef_91d6

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

test statistic a function of the data designed to measure agreement or disagreement with the null hypothesis alternative hypothesis, H_a the hypothesis we aim to support indirectly by rejecting another hypothesis p-value the probability, under the null hypothesis, H₀, of obtaining a result at least as extreme as the one observed level of significance, α the cutoff for how small a p-value must be to reject the null hypothesis, H₀ degrees of freedom the count of values free to vary once constraints are applied MAT

04ef_62a4

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is real and NOT random test statistic the more extreme this value is under the null hypothesis, H₀, the smaller the p-value level of significance, α the probability cutoff that limits how often we mistakenly reject a TRUE null hypothesis, H₀ (later called a Type I error). null hypothesis, H₀ defines the reference distribution used for comparison degrees of freedom a parameter determined by sample size and the number of parameters MAT

04ef_ca1b

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

degrees of freedom depends on sample size and restrictions from estimated parameters p-value if this value is small, there is stronger evidence in favor of the alternative hypothesis, H_a alternative hypothesis, H_a this hypothesis can sometimes be TRUE even when the test fails to detect it (later called a Type II error) level of significance, α biologists often use a probability of 0.05 (5%) for this value test statistic a function of the data computed to test the null hypothesis, H₀ MAT

04ef_6293

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

degrees of freedom the count of values free to vary once constraints are applied p-value the probability, under the null hypothesis, H₀, of obtaining a result at least as extreme as the one observed alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is NOT due to random chance level of significance, α standard cutoff probability used to determine statistical significance test statistic if this value is large in the direction favoring the alternative hypothesis, H_a, there is stronger evidence against the null hypothesis, H₀ MAT

04ef_dca3

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

critical value the cutoff used to compare against the observed test statistic level of significance, α standard cutoff probability used to determine statistical significance null hypothesis, H₀ the hypothesis we attempt to find evidence against in a stattest alternative hypothesis, H_a can be TRUE even if the test fails to detect it (later called a Type II error) p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H₀ MAT

04ef_ad1e

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

degrees of freedom based on how many independent pieces of information are available p-value the probability, under the null hypothesis, H₀, of obtaining a result at least as extreme as the one observed null hypothesis, H₀ the hypothesis we want to reject in a stattest critical value found in a table for given degrees of freedom and level of significance, α test statistic the more extreme this value is under the null hypothesis, H₀, the smaller the p-value MAT

04ef_aade

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

alternative hypothesis, H_a this hypothesis can sometimes be TRUE even when the test fails to detect it (later called a Type II error) p-value the probability, under the null hypothesis, H₀, of obtaining a result at least as extreme as the one observed level of significance, α biologists often use a probability of 0.05 (5%) for this value degrees of freedom a parameter based on sample size and estimated parameters or constraints test statistic a function of the data computed to test the null hypothesis, H₀ MAT

04ef_cdb5

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

alternative hypothesis, H_a this hypothesis represents the possibility that the observed effect is real and NOT random null hypothesis, H₀ this hypothesis defines the distribution used for comparison in the test degrees of freedom based on how many independent pieces of information are available p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H₀ test statistic a function of the data computed to test the null hypothesis, H₀ MAT

04ef_ec69

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

alternative hypothesis, H_a can be TRUE even if the test fails to detect it (later called a Type II error) test statistic if this value is large in the direction favoring the alternative hypothesis, H_a, there is stronger evidence against the null hypothesis, H₀ level of significance, α the probability cutoff used to decide whether to reject the null hypothesis, H₀ p-value if this value is small, there is stronger evidence in favor of the alternative hypothesis, H_a degrees of freedom depends on sample size and restrictions from estimated parameters MAT

04ef_1ceb

Match each of the following statistical test terms with their corresponding definitions.

Note: Each choice will be used exactly once.

critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H₀ p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H₀ test statistic a function of the data designed to measure agreement or disagreement with the null hypothesis degrees of freedom based on how many independent pieces of information are available null hypothesis, H₀ the hypothesis we attempt to find evidence against in a stattest