Which of the following is NOT one of the conditions or assumptions that should be checked before conducting a chi square test?
Expected Cell Frequency Condition
Independence Assumption
Randomization Assumption
Equal Variances Assumption
Only option D is correct answer
because we know that the chi square test is a non parametric test, so its requirement is that the variances must not be equal at all conditions.
Expected cell assumption is that there must be at least 5 counts in each cell
Randomization assumption is that the data sampled must be selected randomly
Independence assumption is that the sampled data must be independent from each other
So, we can see that chi square meets some assumptions of parametric test, but unequal variance is very important requirement for completing chi square test
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