MathBench > Population Dynamics

Mutation and Equilibrium

>Episode 2: Hardy and Weinberg to the rescue

Picking a good statistical test

The next morning, the ME called the Assistant into his office. He had another thick official looking report in his hand and the Assistant knew this couldn't be good.

“Some very expensive genetic tests on 200 people have shown that the proportions of unaffected, carrier, blue phenotypes are 62%, 36%, and 2%, whereas you just predicted 61%, 34%, and 5%. Care to explain yourself?

 

What kind of test could the Assistant use to show that the study's distribution of genotypes (62:36:2) does, in fact, fit his model (61:34:5), and that the difference is just due to random 'slop'?

t-test
regression
chi-square
analysis of variance