MAT

e592_4969

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 statistical test 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, Ha, there is stronger evidence against the null hypothesis, H0 alternative hypothesis, Ha can be TRUE even if the test fails to detect it (later called a Type II error) critical value the cutoff used to compare against the observed test statistic MAT

e592_c762

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 significance level, α standard cutoff probability used to determine statistical significance 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 statistical test critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H0 MAT

e592_f270

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 computed to test the null hypothesis, H0 significance level, α the probability cutoff used to decide whether to reject the null hypothesis, H0 alternative hypothesis, Ha this hypothesis represents the possibility that the observed effect is real and NOT random critical value found in a table for given degrees of freedom and significance level, α MAT

e592_9da5

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

Note: Each choice will be used exactly once.

p-value smaller values give more support for the alternative hypothesis, Ha test statistic a function of the data designed to measure agreement or disagreement with the null hypothesis significance level, α the probability cutoff used to decide whether to reject the null hypothesis, H0 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 significance level, α MAT

e592_c6c4

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 statistical test test statistic if this value is large in the direction favoring the alternative hypothesis, Ha, there is stronger evidence against the null hypothesis, H0 degrees of freedom depends on sample size and restrictions from estimated parameters significance level, 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 MAT

e592_101d

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 found in a table for given degrees of freedom and significance level, α significance level, α the probability cutoff that limits how often we mistakenly reject a TRUE null hypothesis, H0 (later called a Type I error). alternative hypothesis, Ha can be TRUE even if the test fails to detect it (later called a Type II error) MAT

e592_d0fa

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

Note: Each choice will be used exactly once.

alternative hypothesis, Ha 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 critical value found in a table for given degrees of freedom and significance level, α significance level, α the probability cutoff used to decide whether to reject the null hypothesis, H0 null hypothesis, H0 defines the reference distribution used for comparison MAT

e592_8efe

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 critical value the cutoff used to compare against the observed test statistic null hypothesis, H0 the hypothesis we want to reject in a statistical test alternative hypothesis, Ha 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 MAT

e592_4712

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 significance level, α the probability cutoff that limits how often we mistakenly reject a TRUE null hypothesis, H0 (later called a Type I error). alternative hypothesis, Ha 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 null hypothesis, H0 defines the reference distribution used for comparison MAT

e592_14c1

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

Note: Each choice will be used exactly once.

p-value smaller values give more support for the alternative hypothesis, Ha degrees of freedom depends on sample size and restrictions from estimated parameters significance level, 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 test statistic a function of the data computed to test the null hypothesis, H0 MAT

e592_5477

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, Ha represents the possibility that an observed effect or relationship is NOT due to random chance significance level, α the probability cutoff used to decide whether to reject the null hypothesis, H0 null hypothesis, H0 the hypothesis we attempt to find evidence against in a statistical test p-value the probability, under the null hypothesis, H0, of obtaining a result at least as extreme as the one observed MAT

e592_7da7

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 cutoff used to compare against the observed test statistic degrees of freedom a parameter determined by sample size and the number of parameters alternative hypothesis, Ha the hypothesis we aim to support indirectly by rejecting another hypothesis null hypothesis, H0 this hypothesis defines the distribution used for comparison in the test MAT

e592_e43f

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 critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H0 significance level, 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 null hypothesis, H0 the hypothesis we want to reject in a statistical test MAT

e592_8715

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

Note: Each choice will be used exactly once.

alternative hypothesis, Ha 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 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 degrees of freedom depends on sample size and restrictions from estimated parameters MAT

e592_fbfd

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 statistical test critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H0 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, Ha, 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

e592_de8e

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

Note: Each choice will be used exactly once.

significance level, 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 alternative hypothesis, Ha 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, Ha, 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

e592_5df2

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 statistical test 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 alternative hypothesis, Ha 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 MAT

e592_489d

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 the cutoff used to compare against the observed test statistic 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 significance level, α the probability cutoff used to decide whether to reject the null hypothesis, H0 MAT

e592_5042

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, Ha this hypothesis can sometimes be TRUE even when 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 null hypothesis, H0 this hypothesis defines the distribution used for comparison in the test degrees of freedom the count of values free to vary once constraints are applied MAT

e592_bc63

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

Note: Each choice will be used exactly once.

alternative hypothesis, Ha 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 significance level, α 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, Ha, there is stronger evidence against the null hypothesis, H0 degrees of freedom a parameter based on sample size and estimated parameters or constraints MAT

e592_4f11

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 significance level, α the probability cutoff used to decide whether to reject the null hypothesis, H0 p-value smaller values typically correspond to more extreme test statistic values alternative hypothesis, Ha this hypothesis represents the possibility that the observed effect is real and NOT random critical value the boundary for how extreme a test statistic must be to reject the null hypothesis, H0 MAT

e592_5a0b

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

Note: Each choice will be used exactly once.

significance level, 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 null hypothesis, H0 this hypothesis defines the distribution used for comparison in the test alternative hypothesis, Ha 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 MAT

e592_eea8

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

Note: Each choice will be used exactly once.

alternative hypothesis, Ha 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 significance level, 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 null hypothesis, H0 the hypothesis we want to reject in a statistical test MAT

e592_de18

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 boundary for how extreme a test statistic must be to reject the null hypothesis, H0 alternative hypothesis, Ha represents the possibility that an observed effect or relationship is NOT due to random chance null hypothesis, H0 defines the reference distribution used for comparison significance level, α the probability cutoff used to decide whether to reject the null hypothesis, H0 MAT

e592_db50

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 significance level, 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, Ha can be TRUE even if the test fails to detect it (later called a Type II error) p-value smaller values give more support for the alternative hypothesis, Ha MAT

e592_7fd6

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, Ha, there is stronger evidence against the null hypothesis, H0 p-value smaller values give more support for the alternative hypothesis, Ha degrees of freedom based on how many independent pieces of information are available significance level, α the cutoff for how small a p-value must be 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

e592_9993

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 depends on sample size and restrictions from estimated parameters p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H0 alternative hypothesis, Ha 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 MAT

e592_b1e9

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

Note: Each choice will be used exactly once.

significance level, α biologists often use a probability of 0.05 (5%) for this value null hypothesis, H0 the hypothesis we want to reject in a statistical test p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H0 test statistic the more extreme this value is under the null hypothesis, H0, the smaller the p-value degrees of freedom depends on sample size and restrictions from estimated parameters MAT

e592_6857

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

Note: Each choice will be used exactly once.

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

e592_59eb

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

Note: Each choice will be used exactly once.

alternative hypothesis, Ha the hypothesis we aim to support indirectly by rejecting another hypothesis p-value smaller values typically correspond to more extreme test statistic values critical value found in a table for given degrees of freedom and significance level, α null hypothesis, H0 defines the reference distribution used for comparison degrees of freedom depends on sample size and restrictions from estimated parameters MAT

e592_4859

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

Note: Each choice will be used exactly once.

alternative hypothesis, Ha represents the possibility that an observed effect or relationship is NOT due to random chance significance level, α the probability cutoff used to decide whether 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 found in a table for given degrees of freedom and significance level, α degrees of freedom based on how many independent pieces of information are available MAT

e592_17fa

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 cutoff used to compare against the observed test statistic 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 alternative hypothesis, Ha represents the possibility that an observed effect or relationship is real and NOT random MAT

e592_ae8b

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 p-value smaller values typically correspond to more extreme test statistic values significance level, α the probability cutoff used to decide whether to reject the null hypothesis, H0 alternative hypothesis, Ha can be TRUE even if 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 MAT

e592_2888

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

Note: Each choice will be used exactly once.

alternative hypothesis, Ha can be TRUE even if the test fails to detect it (later called a Type II error) significance level, 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 critical value found in a table for given degrees of freedom and significance level, α null hypothesis, H0 the hypothesis we want to reject in a statistical test MAT

e592_c5e7

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 statistical test degrees of freedom a parameter based on sample size and estimated parameters or constraints alternative hypothesis, Ha 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, Ha, there is stronger evidence against the null hypothesis, H0 p-value smaller values give more support for the alternative hypothesis, Ha MAT

e592_a241

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

Note: Each choice will be used exactly once.

alternative hypothesis, Ha the hypothesis we aim to support indirectly by rejecting another hypothesis null hypothesis, H0 the hypothesis we attempt to find evidence against in a statistical test degrees of freedom depends on sample size and restrictions from estimated parameters 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 MAT

e592_1f34

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

Note: Each choice will be used exactly once.

significance level, α the probability cutoff that limits how often we mistakenly reject a TRUE null hypothesis, H0 (later called a Type I error). alternative hypothesis, Ha this hypothesis represents the possibility that the observed effect is real and NOT random 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, Ha, there is stronger evidence against the null hypothesis, H0 degrees of freedom a parameter determined by sample size and the number of parameters MAT

e592_aae4

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

Note: Each choice will be used exactly once.

significance level, 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 p-value smaller values typically correspond to more extreme test statistic values degrees of freedom depends on sample size and restrictions from estimated parameters test statistic a function of the data computed to test the null hypothesis, H0 MAT

e592_f678

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

Note: Each choice will be used exactly once.

alternative hypothesis, Ha 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 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 significance level, α significance level, α the cutoff for how small a p-value must be to reject the null hypothesis, H0 MAT

e592_0153

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 based on how many independent pieces of information are available significance level, 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 alternative hypothesis, Ha this hypothesis represents the possibility that the observed effect is real and NOT random MAT

e592_996c

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 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 want to reject in a statistical test significance level, α the probability cutoff that limits how often we mistakenly reject a TRUE null hypothesis, H0 (later called a Type I error). MAT

e592_75ef

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 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 statistical test alternative hypothesis, Ha 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, Ha, there is stronger evidence against the null hypothesis, H0 MAT

e592_ed00

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

Note: Each choice will be used exactly once.

significance level, α the probability cutoff used to decide whether to reject the null hypothesis, H0 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 critical value the cutoff used to compare against the observed test statistic alternative hypothesis, Ha this hypothesis can sometimes be TRUE even when the test fails to detect it (later called a Type II error) MAT

e592_ba6d

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 found in a table for given degrees of freedom and significance level, α significance level, α the probability cutoff used to decide whether to reject the null hypothesis, H0 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 MAT

e592_8a76

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 critical value found in a table for given degrees of freedom and significance level, α alternative hypothesis, Ha 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, Ha, there is stronger evidence against the null hypothesis, H0 significance level, α the probability cutoff that limits how often we mistakenly reject a TRUE null hypothesis, H0 (later called a Type I error). MAT

e592_3c09

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 test statistic a function of the data computed to test the null hypothesis, H0 alternative hypothesis, Ha can be TRUE even if 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 significance level, α the cutoff for how small a p-value must be to reject the null hypothesis, H0 MAT

e592_aa71

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

Note: Each choice will be used exactly once.

p-value smaller values give more support for the alternative hypothesis, Ha 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 a parameter based on sample size and estimated parameters or constraints alternative hypothesis, Ha this hypothesis represents the possibility that the observed effect is NOT due to random chance MAT

e592_9867

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

Note: Each choice will be used exactly once.

significance level, α the probability cutoff used to decide whether to reject the null hypothesis, H0 null hypothesis, H0 defines the reference distribution used for comparison 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 alternative hypothesis, Ha can be TRUE even if the test fails to detect it (later called a Type II error) MAT

e592_0782

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

Note: Each choice will be used exactly once.

significance level, α the probability cutoff used to decide whether to reject 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 null hypothesis, H0 defines the reference distribution used for comparison p-value if this value is small, it suggests that the observed data are NOT consistent with the null hypothesis, H0 MAT

e592_ed19

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 significance level, α the cutoff for how small a p-value must be to reject the null hypothesis, H0 alternative hypothesis, Ha 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 test statistic the more extreme this value is under the null hypothesis, H0, the smaller the p-value