F13 lecture 6 for post

Genotype observed expected o e o e2 o e2e

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Unformatted text preview: fit of genotype data, #df = # genotypes - # alleles •  = 6 genotypes – 3 alleles •  =>3 degrees of freedom chi- square goodness of fit test genotype observed # expected # (o- e) (o- e)^2 [(o- e)^2]/e a1a1 11 26.4 - 15.4 235.68 8.94 a2a2 15 26.0 - 11.0 120.66 4.64 a3a3 6 13.7 - 7.7 58.85 4.30 a1a2 71 52.3 18.7 348.38 6.66 a1a3 50 38.0 12.0 144.93 3.82 a2a3 41 37.7 3.3 10.92 0.29 28.66 0.000003 P value for '=chidist(28.66,3)' total chi- square why does this data not fit H- W expecta+on? genotype observed # expected # (o- e) (o- e)^2 [(o- e)^2]/e a1a1 11 26.4 - 15.4 235.68 8.94 a2a2 15 26.0 - 11.0 120.66 4.64 a3a3 6 13.7 - 7.7 58.85 4.30 a1a2 71 52.3 18.7 348.38 6.66 a1a3 50 38.0 12.0 144.93 3.82 a2a3 41 37.7 3.3 10.92 0.29 28.66 0.000003 P value for '=chidist(28.66,3)' total chi- square in our data • ...
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