When we carry out 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:
A)Decreases
B)Increases
C)May decrease or increase depending on the number of rows and columns
D)Will be unaffected

Question

Quizplus · Accepted Answer

As the difference between the observed and expected frequencies decreases, the chi-square test statistic decreases as well, and the probability of concluding that the row variable is independent of the column variable increases. This is because smaller values of the test statistic indicate that the observed data are closer to what would be expected if the variables were independent, increasing the likelihood of failing to reject the null hypothesis (i.e., concluding that the variables are independent).

When We Carry Out a Chi-Square Test of Independence,as the Difference