What does Fisher's exact probability show?
A) It is the amount of variation that one variable can explain in the other variable.
B) It tests whether the assumption of independence has been met.
C) It tests whether the assumption of expected frequencies has been met.
D) It is the probability of obtaining a chi-square value at least as big as the one observed if the null hypothesis were true.
Correct Answer:
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