Assuming a significance level of 0.05, X² < P₀.₀₅, so there is no enought evidence to reject the null hypothesis. We fail to reject it. She got the predicted ratios.
The total number of individuals is 210 + 680 = 890
Let us first take the expected numbers from the expected ratio,
4 -------------890
3 ------------X = 667.5
1 -------------X = 222.5
Red-eyed individuals White-eyed individuals
Observed 680 210
Expected 667.5 222.5
(Obs-Exp)²/Exp 0.234 0.702
Now we need to get the chi-square value
X² = Σ(Obs-Exp)²/Exp
X² = 0.936
Degrees of freedom = n - 1 = 2 - 1 = 1
Significance level = 0.05
Critical value = 3.841
X² < P₀.₀₅
0.936 < 3.841
p value is greater than 0.05, so there is not enough evidence to reject the null hypothesis. The genotypes might be in equilibrium, and there might be independent assortment.
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