Now complete the chi-square test to determine if the Hardy-Weinberg equilibrium has been violated, i.e., evolution has occurred in the population. Use data from generations 3 and 4 to complete the chi-square test. Your TA will help you 2 equencies. (0 – E) E Chi-square table Genotype AA Genotype Aa Genotype aa df P = 0.05 3.84 Observed counts (generation 4) 11 2 5.99 3 7.82 Expected counts (generation 4) 5 4 9.49 (observed – expected) 1 -2 11 (observed – expected)? 4 (observed – expected)? / expected Σ (sum) =
Now complete the chi-square test to determine if the Hardy-Weinberg equilibrium has been violated, i.e., evolution has occurred in the population. Use data from generations 3 and 4 to complete the chi-square test. Your TA will help you 2 equencies. (0 – E) E Chi-square table Genotype AA Genotype Aa Genotype aa df P = 0.05 3.84 Observed counts (generation 4) 11 2 5.99 3 7.82 Expected counts (generation 4) 5 4 9.49 (observed – expected) 1 -2 11 (observed – expected)? 4 (observed – expected)? / expected Σ (sum) =
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Expert Solution
Step 1
Null hypothesis: there is no significant difference between observed and expected frequencies.
sum of expected should be equal to sum of observed frequencies.
Total observed frequency = 21
Expected count for Genotype Aa is 11 (21-5-5)
(observed- expected) for Aa= 11-11 = 0
AA | Aa | aa | |
observed | 6 | 11 | 4 |
expected | 5 | 11 | 5 |
(observed- expected) | 1 | 0 | -2 |
(observed- expected)2 | 1 | 0 | 4 |
(observed- expected)2/ expected | 0.2 | 0 | 0.8 |
sum | 1 (0.2+0+0.8) |
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