c9da_8b89
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 44.3 | 50 | (50-44.3)2⁄ 44.3 | 0.733 |
| Pink Flowers | 50.4 | 40 | (40-50.4)2⁄ 50.4 | 2.146 |
| White Flowers | 14.3 | 20 | (20-14.3)2⁄ 14.3 | 2.272 |
| N = 110 | χ2 = 5.151 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.64 and q=0.36. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect MCc8c4_a054
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 34.4 | 38 | (38-34.4)2⁄ 34.4 | 0.377 |
| Pink Flowers | 23.6 | 17 | (17-23.6)2⁄ 23.6 | 1.846 |
| White Flowers | 4.0 | 7 | (7-4.0)2⁄ 4.0 | 2.250 |
| N = 62 | χ2 = 4.473 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.74 and q=0.26. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect MCb632_a054
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 289.5 | 299 | (299-289.5)2⁄ 289.5 | 0.312 |
| Pink Flowers | 182.0 | 164 | (164-182.0)2⁄ 182.0 | 1.780 |
| White Flowers | 28.6 | 38 | (38-28.6)2⁄ 28.6 | 3.090 |
| N = 501 | χ2 = 5.181 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.76 and q=0.24. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect MC0bde_5c54
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 76.7 | 83 | (83-76.7)2⁄ 76.7 | 0.517 |
| Pink Flowers | 81.6 | 68 | (68-81.6)2⁄ 81.6 | 2.267 |
| White Flowers | 21.7 | 29 | (29-21.7)2⁄ 21.7 | 2.456 |
| N = 180 | χ2 = 5.240 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.65 and q=0.35. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect MCd0e0_88a1
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 45.7 | 51 | (51-45.7)2⁄ 45.7 | 0.615 |
| Pink Flowers | 43.1 | 33 | (33-43.1)2⁄ 43.1 | 2.367 |
| White Flowers | 10.2 | 15 | (15-10.2)2⁄ 10.2 | 2.259 |
| N = 99 | χ2 = 5.240 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.68 and q=0.32. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect MCc1b6_917e
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 128.2 | 116 | (116-128.2)2⁄ 128.2 | 1.161 |
| Pink Flowers | 250.0 | 275 | (275-250.0)2⁄ 250.0 | 2.500 |
| White Flowers | 121.8 | 109 | (109-121.8)2⁄ 121.8 | 1.345 |
| N = 500 | χ2 = 5.006 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.51 and q=0.49. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct MCe189_8a6c
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 3221.3 | 3254 | (3254-3221.3)2⁄ 3221.3 | 0.332 |
| Pink Flowers | 2266.1 | 2200 | (2200-2266.1)2⁄ 2266.1 | 1.928 |
| White Flowers | 398.6 | 432 | (432-398.6)2⁄ 398.6 | 2.799 |
| N = 5886 | χ2 = 5.059 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.74 and q=0.26. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct MCb7cd_c2e7
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 22.0 | 26 | (26-22.0)2⁄ 22.0 | 0.727 |
| Pink Flowers | 29.3 | 21 | (21-29.3)2⁄ 29.3 | 2.351 |
| White Flowers | 9.7 | 14 | (14-9.7)2⁄ 9.7 | 1.906 |
| N = 61 | χ2 = 4.985 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.60 and q=0.40. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct MC3e14_d3fc
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 163.1 | 151 | (151-163.1)2⁄ 163.1 | 0.898 |
| Pink Flowers | 244.9 | 269 | (269-244.9)2⁄ 244.9 | 2.372 |
| White Flowers | 92.0 | 80 | (80-92.0)2⁄ 92.0 | 1.565 |
| N = 500 | χ2 = 4.835 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.57 and q=0.43. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect MC0d31_8b89
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 182.2 | 194 | (194-182.2)2⁄ 182.2 | 0.764 |
| Pink Flowers | 239.3 | 215 | (215-239.3)2⁄ 239.3 | 2.468 |
| White Flowers | 78.6 | 91 | (91-78.6)2⁄ 78.6 | 1.956 |
| N = 500 | χ2 = 5.188 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.60 and q=0.40. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect MCdc1a_d3fc
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 16.8 | 21 | (21-16.8)2⁄ 16.8 | 1.050 |
| Pink Flowers | 25.5 | 18 | (18-25.5)2⁄ 25.5 | 2.206 |
| White Flowers | 9.7 | 14 | (14-9.7)2⁄ 9.7 | 1.906 |
| N = 53 | χ2 = 5.162 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.57 and q=0.43. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect MCb241_d3fc
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 33.9 | 37 | (37-33.9)2⁄ 33.9 | 0.283 |
| Pink Flowers | 19.3 | 14 | (14-19.3)2⁄ 19.3 | 1.455 |
| White Flowers | 2.8 | 6 | (6-2.8)2⁄ 2.8 | 3.657 |
| N = 57 | χ2 = 5.396 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.78 and q=0.22. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect MCbe2f_c2e7
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 310.9 | 303 | (303-310.9)2⁄ 310.9 | 0.201 |
| Pink Flowers | 166.8 | 183 | (183-166.8)2⁄ 166.8 | 1.573 |
| White Flowers | 22.4 | 14 | (14-22.4)2⁄ 22.4 | 3.150 |
| N = 500 | χ2 = 4.924 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.79 and q=0.21. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct MC2dd1_917e
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 84.5 | 97 | (97-84.5)2⁄ 84.5 | 1.849 |
| Pink Flowers | 242.1 | 218 | (218-242.1)2⁄ 242.1 | 2.399 |
| White Flowers | 173.5 | 186 | (186-173.5)2⁄ 173.5 | 0.901 |
| N = 501 | χ2 = 5.149 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.41 and q=0.59. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct MC59d3_917e
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 165.4 | 178 | (178-165.4)2⁄ 165.4 | 0.960 |
| Pink Flowers | 244.4 | 220 | (220-244.4)2⁄ 244.4 | 2.436 |
| White Flowers | 90.3 | 103 | (103-90.3)2⁄ 90.3 | 1.786 |
| N = 501 | χ2 = 5.182 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.58 and q=0.42. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct MC2a31_2399
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 143.5 | 131 | (131-143.5)2⁄ 143.5 | 1.089 |
| Pink Flowers | 248.7 | 274 | (274-248.7)2⁄ 248.7 | 2.574 |
| White Flowers | 107.8 | 95 | (95-107.8)2⁄ 107.8 | 1.520 |
| N = 500 | χ2 = 5.182 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.54 and q=0.46. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect MC8f47_917e
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 288.0 | 297 | (297-288.0)2⁄ 288.0 | 0.281 |
| Pink Flowers | 182.9 | 165 | (165-182.9)2⁄ 182.9 | 1.752 |
| White Flowers | 29.0 | 38 | (38-29.0)2⁄ 29.0 | 2.793 |
| N = 500 | χ2 = 4.826 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.76 and q=0.24. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct MC5e43_bd2a
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 211.3 | 200 | (200-211.3)2⁄ 211.3 | 0.604 |
| Pink Flowers | 227.5 | 250 | (250-227.5)2⁄ 227.5 | 2.225 |
| White Flowers | 61.2 | 50 | (50-61.2)2⁄ 61.2 | 2.050 |
| N = 500 | χ2 = 4.879 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.65 and q=0.35. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct MC2218_c2e7
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 299.6 | 291 | (291-299.6)2⁄ 299.6 | 0.247 |
| Pink Flowers | 174.9 | 192 | (192-174.9)2⁄ 174.9 | 1.672 |
| White Flowers | 25.5 | 17 | (17-25.5)2⁄ 25.5 | 2.833 |
| N = 500 | χ2 = 4.752 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.77 and q=0.23. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct MC32bd_5b30
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 137.6 | 125 | (125-137.6)2⁄ 137.6 | 1.154 |
| Pink Flowers | 249.4 | 274 | (274-249.4)2⁄ 249.4 | 2.426 |
| White Flowers | 113.0 | 101 | (101-113.0)2⁄ 113.0 | 1.274 |
| N = 500 | χ2 = 4.855 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.52 and q=0.48. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect MCd7d6_ca19
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 230.6 | 241 | (241-230.6)2⁄ 230.6 | 0.469 |
| Pink Flowers | 217.9 | 196 | (196-217.9)2⁄ 217.9 | 2.201 |
| White Flowers | 51.5 | 62 | (62-51.5)2⁄ 51.5 | 2.141 |
| N = 499 | χ2 = 4.811 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.68 and q=0.32. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect MC0d54_5c54
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 148.6 | 161 | (161-148.6)2⁄ 148.6 | 1.035 |
| Pink Flowers | 248.0 | 223 | (223-248.0)2⁄ 248.0 | 2.520 |
| White Flowers | 103.4 | 116 | (116-103.4)2⁄ 103.4 | 1.535 |
| N = 500 | χ2 = 5.090 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.55 and q=0.45. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect MC7a82_8365
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 115.1 | 103 | (103-115.1)2⁄ 115.1 | 1.272 |
| Pink Flowers | 249.6 | 275 | (275-249.6)2⁄ 249.6 | 2.585 |
| White Flowers | 135.3 | 123 | (123-135.3)2⁄ 135.3 | 1.118 |
| N = 501 | χ2 = 4.975 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.48 and q=0.52. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect MC4cbb_d3fc
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 94.4 | 107 | (107-94.4)2⁄ 94.4 | 1.682 |
| Pink Flowers | 245.7 | 221 | (221-245.7)2⁄ 245.7 | 2.483 |
| White Flowers | 159.8 | 172 | (172-159.8)2⁄ 159.8 | 0.931 |
| N = 500 | χ2 = 5.096 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.43 and q=0.57. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect MC3971_88a1
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 64.9 | 70 | (70-64.9)2⁄ 64.9 | 0.401 |
| Pink Flowers | 46.0 | 37 | (37-46.0)2⁄ 46.0 | 1.761 |
| White Flowers | 8.1 | 13 | (13-8.1)2⁄ 8.1 | 2.964 |
| N = 120 | χ2 = 5.126 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.74 and q=0.26. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect MC9e49_8f96
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 239.5 | 250 | (250-239.5)2⁄ 239.5 | 0.460 |
| Pink Flowers | 213.1 | 192 | (192-213.1)2⁄ 213.1 | 2.089 |
| White Flowers | 47.4 | 58 | (58-47.4)2⁄ 47.4 | 2.370 |
| N = 500 | χ2 = 4.920 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.69 and q=0.31. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect MC9a92_a0e3
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 41.9 | 47 | (47-41.9)2⁄ 41.9 | 0.621 |
| Pink Flowers | 51.4 | 40 | (40-51.4)2⁄ 51.4 | 2.528 |
| White Flowers | 15.8 | 21 | (21-15.8)2⁄ 15.8 | 1.711 |
| N = 108 | χ2 = 4.861 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.62 and q=0.38. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect MC4f79_57e2
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 46.8 | 54 | (54-46.8)2⁄ 46.8 | 1.108 |
| Pink Flowers | 86.4 | 72 | (72-86.4)2⁄ 86.4 | 2.400 |
| White Flowers | 39.8 | 47 | (47-39.8)2⁄ 39.8 | 1.303 |
| N = 173 | χ2 = 4.810 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.52 and q=0.48. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect MC7ccb_5b30
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 26.0 | 32 | (32-26.0)2⁄ 26.0 | 1.385 |
| Pink Flowers | 50.5 | 39 | (39-50.5)2⁄ 50.5 | 2.619 |
| White Flowers | 24.5 | 30 | (30-24.5)2⁄ 24.5 | 1.235 |
| N = 101 | χ2 = 5.238 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.51 and q=0.49. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect MC79f6_8f96
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 67.4 | 75 | (75-67.4)2⁄ 67.4 | 0.857 |
| Pink Flowers | 86.7 | 72 | (72-86.7)2⁄ 86.7 | 2.492 |
| White Flowers | 27.9 | 35 | (35-27.9)2⁄ 27.9 | 1.807 |
| N = 182 | χ2 = 5.156 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.61 and q=0.39. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect MC90f7_ed9b
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 16.9 | 22 | (22-16.9)2⁄ 16.9 | 1.539 |
| Pink Flowers | 37.4 | 28 | (28-37.4)2⁄ 37.4 | 2.363 |
| White Flowers | 20.7 | 26 | (26-20.7)2⁄ 20.7 | 1.357 |
| N = 76 | χ2 = 5.259 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.48 and q=0.52. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct MCebcf_8f96
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 142.5 | 155 | (155-142.5)2⁄ 142.5 | 1.096 |
| Pink Flowers | 248.9 | 224 | (224-248.9)2⁄ 248.9 | 2.491 |
| White Flowers | 108.7 | 121 | (121-108.7)2⁄ 108.7 | 1.392 |
| N = 500 | χ2 = 4.979 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.53 and q=0.47. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect MC1fe2_ed9b
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 106.5 | 119 | (119-106.5)2⁄ 106.5 | 1.467 |
| Pink Flowers | 248.5 | 224 | (224-248.5)2⁄ 248.5 | 2.415 |
| White Flowers | 145.0 | 157 | (157-145.0)2⁄ 145.0 | 0.993 |
| N = 500 | χ2 = 4.876 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.46 and q=0.54. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct MCe9ce_8365
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 61.5 | 67 | (67-61.5)2⁄ 61.5 | 0.492 |
| Pink Flowers | 55.8 | 45 | (45-55.8)2⁄ 55.8 | 2.090 |
| White Flowers | 12.7 | 18 | (18-12.7)2⁄ 12.7 | 2.212 |
| N = 130 | χ2 = 4.794 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.69 and q=0.31. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect MCa351_3064
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 143.1 | 131 | (131-143.1)2⁄ 143.1 | 1.023 |
| Pink Flowers | 248.8 | 274 | (274-248.8)2⁄ 248.8 | 2.552 |
| White Flowers | 108.1 | 96 | (96-108.1)2⁄ 108.1 | 1.354 |
| N = 501 | χ2 = 4.930 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.54 and q=0.46. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect MCd56c_6a1a
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 162.3 | 175 | (175-162.3)2⁄ 162.3 | 0.994 |
| Pink Flowers | 245.1 | 221 | (221-245.1)2⁄ 245.1 | 2.370 |
| White Flowers | 92.6 | 105 | (105-92.6)2⁄ 92.6 | 1.660 |
| N = 501 | χ2 = 5.024 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.57 and q=0.43. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct MCd1de_8365
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 127.4 | 115 | (115-127.4)2⁄ 127.4 | 1.207 |
| Pink Flowers | 250.0 | 275 | (275-250.0)2⁄ 250.0 | 2.500 |
| White Flowers | 122.7 | 110 | (110-122.7)2⁄ 122.7 | 1.315 |
| N = 500 | χ2 = 5.021 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.50 and q=0.50. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect MC3205_d3fc
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 93.4 | 106 | (106-93.4)2⁄ 93.4 | 1.700 |
| Pink Flowers | 245.4 | 221 | (221-245.4)2⁄ 245.4 | 2.426 |
| White Flowers | 161.3 | 174 | (174-161.3)2⁄ 161.3 | 1.000 |
| N = 501 | χ2 = 5.126 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.43 and q=0.57. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect MCdd06_8f96
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 86.3 | 98 | (98-86.3)2⁄ 86.3 | 1.586 |
| Pink Flowers | 242.9 | 219 | (219-242.9)2⁄ 242.9 | 2.352 |
| White Flowers | 170.8 | 183 | (183-170.8)2⁄ 170.8 | 0.871 |
| N = 500 | χ2 = 4.809 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.42 and q=0.58. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect MC8d06_d3fc
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 70.7 | 77 | (77-70.7)2⁄ 70.7 | 0.561 |
| Pink Flowers | 67.3 | 55 | (55-67.3)2⁄ 67.3 | 2.248 |
| White Flowers | 16.0 | 22 | (22-16.0)2⁄ 16.0 | 2.250 |
| N = 154 | χ2 = 5.059 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.68 and q=0.32. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect MC2dfc_57e2
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 56.1 | 61 | (61-56.1)2⁄ 56.1 | 0.428 |
| Pink Flowers | 41.3 | 32 | (32-41.3)2⁄ 41.3 | 2.094 |
| White Flowers | 7.6 | 12 | (12-7.6)2⁄ 7.6 | 2.547 |
| N = 105 | χ2 = 5.070 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.73 and q=0.27. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect MCc696_ed9b
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 20.7 | 26 | (26-20.7)2⁄ 20.7 | 1.357 |
| Pink Flowers | 39.5 | 30 | (30-39.5)2⁄ 39.5 | 2.285 |
| White Flowers | 18.8 | 24 | (24-18.8)2⁄ 18.8 | 1.438 |
| N = 80 | χ2 = 5.080 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.51 and q=0.49. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct MC35e1_5c54
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 26.4 | 33 | (33-26.4)2⁄ 26.4 | 1.650 |
| Pink Flowers | 78.0 | 64 | (64-78.0)2⁄ 78.0 | 2.513 |
| White Flowers | 57.6 | 64 | (64-57.6)2⁄ 57.6 | 0.711 |
| N = 161 | χ2 = 4.874 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.40 and q=0.60. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect MC65ea_c2e7
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 286.5 | 296 | (296-286.5)2⁄ 286.5 | 0.315 |
| Pink Flowers | 184.0 | 166 | (166-184.0)2⁄ 184.0 | 1.761 |
| White Flowers | 29.5 | 39 | (39-29.5)2⁄ 29.5 | 3.059 |
| N = 501 | χ2 = 5.135 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.76 and q=0.24. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct MCde7e_a0e3
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 57.8 | 65 | (65-57.8)2⁄ 57.8 | 0.897 |
| Pink Flowers | 76.1 | 63 | (63-76.1)2⁄ 76.1 | 2.255 |
| White Flowers | 25.1 | 32 | (32-25.1)2⁄ 25.1 | 1.897 |
| N = 160 | χ2 = 5.049 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.60 and q=0.40. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect MC63e9_2399
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 184.8 | 173 | (173-184.8)2⁄ 184.8 | 0.753 |
| Pink Flowers | 238.4 | 262 | (262-238.4)2⁄ 238.4 | 2.336 |
| White Flowers | 76.9 | 65 | (65-76.9)2⁄ 76.9 | 1.841 |
| N = 500 | χ2 = 4.931 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.61 and q=0.39. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect MCc331_c765
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 11141.7 | 11201 | (11201-11141.7)2⁄ 11141.7 | 0.316 |
| Pink Flowers | 7539.7 | 7420 | (7420-7539.7)2⁄ 7539.7 | 1.900 |
| White Flowers | 1275.6 | 1335 | (1335-1275.6)2⁄ 1275.6 | 2.766 |
| N = 19956 | χ2 = 4.982 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.75 and q=0.25. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect MC7a09_8a6c
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 159.0 | 166 | (166-159.0)2⁄ 159.0 | 0.308 |
| Pink Flowers | 106.2 | 92 | (92-106.2)2⁄ 106.2 | 1.899 |
| White Flowers | 17.7 | 25 | (25-17.7)2⁄ 17.7 | 3.011 |
| N = 283 | χ2 = 5.218 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.75 and q=0.25. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct MC63fb_a0e3
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 187.5 | 176 | (176-187.5)2⁄ 187.5 | 0.705 |
| Pink Flowers | 237.4 | 261 | (261-237.4)2⁄ 237.4 | 2.346 |
| White Flowers | 75.1 | 63 | (63-75.1)2⁄ 75.1 | 1.950 |
| N = 500 | χ2 = 5.001 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.61 and q=0.39. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect MC55a8_6a1a
The table below gives chi-square critical values for each probability in the right tail.
| Degrees of freedom | 0.95 | 0.90 | 0.75 | 0.50 | 0.25 | 0.10 | 0.05 | 0.01 |
|---|---|---|---|---|---|---|---|---|
| 1 | 0.00 | 0.02 | 0.10 | 0.45 | 1.32 | 2.71 | 3.84 | 6.63 |
| 2 | 0.10 | 0.21 | 0.58 | 1.39 | 2.77 | 4.61 | 5.99 | 9.21 |
| 3 | 0.35 | 0.58 | 1.21 | 2.37 | 4.11 | 6.25 | 7.81 | 11.34 |
| 4 | 0.71 | 1.06 | 1.92 | 3.36 | 5.39 | 7.78 | 9.49 | 13.28 |
| Category | Expected | Observed | Calculation | Statistic |
|---|---|---|---|---|
| Red Flowers | 128.4 | 116 | (116-128.4)2⁄ 128.4 | 1.198 |
| Pink Flowers | 250.0 | 275 | (275-250.0)2⁄ 250.0 | 2.500 |
| White Flowers | 121.6 | 109 | (109-121.6)2⁄ 121.6 | 1.306 |
| N = 500 | χ2 = 5.003 | |||
You finally have a new competent lab partner that you trust.
This lab partner calculated the allele frequencies of p=0.51 and q=0.49. Then they did a chi-square (χ2) test for your Hardy-Weinberg data.
They need you to decide whether you reject or fail to reject the null hypothesis (H0) using the information provided.
the chi-square statistic (χ2) is LESS than the critical value and we REJECT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is LESS than the critical value and we ACCEPT the null hypothesis (H0) Incorrect the chi-square statistic (χ2) is GREATER than the critical value and we REJECT the null hypothesis (H0) Correct