The χ2 value means nothing on its own--it is used to find the probability that, assuming the hypothesis is true, the observed da

Question

2 years ago

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The χ2 value means nothing on its own--it is used to find the probability that, assuming the hypothesis is true, the observed da

ta set could have resulted from random fluctuations. A low probability suggests the observed data is not consistent with the hypothesis, and thus the hypothesis should be rejected. What is the hypothesis that you are testing?
A) The two genes are unlinked and are assorting independently, leading to a 1:1:1:1 ratio of phenotypes in the offspring.
B) The two genes are unlinked and are assorting independently, leading to a 1:1:0:0 ratio of phenotypes in the offspring.
C) The two genes are linked and are assorting together, leading to a 1:1:1:1 ratio of phenotypes in the offspring.
D) The two genes are linked and are assorting together, leading to a ratio of phenotypes in the offspring that deviates significantly from 1:1:1:1.

Biology

1 answer:

vova2212 [387] · Answer 1 · 2022-06-26T13:07:08+03:00

Answer:

A) The two genes are unlinked and are assorting independently, leading to a 1:1:1:1 ratio of phenotypes in the offspring.

Explanation:

The χ2 value means nothing on its own--it is used to find the probability that, assuming the hypothesis is true, the observed data set could have resulted from random fluctuations. A low probability suggests the observed data is not consistent with the hypothesis, and thus the hypothesis should be rejected. The hypothesis that you are testing are two genes are unlinked and are assorting independently, leading to a 1:1:1:1 ratio of phenotypes in the offspring.