Respuesta :
It is impossible to explain the differences between the observed and expected counts by chance alone.
What is progeny, for instance?
By progeny, we mean "children" or "offspring." Your parents are the progenitors of you and your brothers, and your cat is the progenitor of her most recent litter of kittens. You are also the progeny of your grandparents and great-grandparents because the terms "progeny" and "product" are synonymous terms.
The purpose of the chi square test is to determine the likelihood that the hypothesis is correct. A poor outcome in comparison to the observation indicates the hypothesis is incorrect.
This illustration of the law of independent assortment uses a ratio of 1:1:1:1. The probability of exhibiting is 25%, so the value of p 0.04 is very low.
As a result, the discrepancy between the observed and expected count is too great to be due to chance.
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