In performing a chi-square test of independence,as the difference between the respective observed and expected frequencies decrease,the probability of concluding that the row variable is independent of the column variable decreases.

Question

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As the difference between the observed and expected frequencies decrease, the probability of concluding independence increases. When the difference is zero, it indicates perfect independence, and the chi-square value is zero. Therefore, it is incorrect to state that the probability of concluding independence decreases as the difference decreases.

In Performing a Chi-Square Test of Independence,as the Difference Between