An F1 result gives you 80 brown and 40 white offspring. You suspect a dominant-recessive pair of alleles and a 3:1 ratio. Justify this hypothesis with the method of support (test of goodness of fit).
I believe we are supposed to gather our support limit from our 1 degree of freedom using df + 2√2df as well as using S(H0/H1) = ∑[o ln(o/e)] and comparing the two? I am not sure though and would like some help. Thanks!
We have to test the hypothesis that
Null hypothesis- Ho : Pair of alleles are in 3: 1 ratio.
against
Alternative hypothesis- Ha : Pair of alleles are not in 3: 1 ratio.
We use chi-square goodness of fit test for testing null hypothesis
The value of chi-square test statistic is
Oi : observed frequency and Ei : Expected frequency k = number of classes = 2, d.f. = k-1 =1
N = total number of offspring = 120
E1 = ( 3/4) *120 = 90 and E2 = (1/4) *120 = 30
Offspring | Oi | Ei | ( Oi-Ei)^2/Ei |
Brown | 80 | 90 | 1.1111 |
White | 40 | 30 | 3.3333 |
Total | 120 | 120 | 4.4444 |
Value of chi-square test statistic
Consider Alpha : level of significance = 0.05
Critical value at 1 degrees of freedom
Since calculated value is greater than critical value ( 4.4444 > 3.8414), we reject the null hypothesis at 5% level of significance.
Conclusion : At 5% level of significance, there is sufficient evidence support to claim that pair of alleles are not in 3: 1 ratio.
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