Question

1. When is the Chi-square test not ideal? A. To compare independent samples of ratio or...

1. When is the Chi-square test not ideal?

A. To compare independent samples of ratio or interval level data

B. To compare independent samples of ordinal or nominal level data

C. When all cells within 2x2 tables have an observed value greater than or equal to 10.

D. A & B

Math   Statistics-And-Probability   
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Answer #1

The answer is -A.To compare independent samples of ratio or interval level data.

EXPLANATION-

Basically,we use chi-square test to compare or to find the association between ordinal or nominal level data,or to check the independence between this kind of variables when given in the form of contingency tables.(2*2,or above dimension).For,independent samples of ratio or interval level data,we usually use t-tests,not chi-square tests.Hence,the answer is-option-A.(ANSWER)

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