If you expect that the distribution of observed data differ from the expected distribution, then which of the following is likely to be true?
A) A Chi-square test for goodness of fit is likely to be significant.
B) A Chi-square test for goodness of fit is likely to be non-significant.
C) A Chi-square test for independence is likely to be significant
D) A Chi-square test for independence is likely to be non-significant

Question

Quizplus · Accepted Answer

A Chi-square test for goodness of fit is used to test if the observed data follows the expected distribution. If there is a significant difference between the observed and expected distributions, the test will be significant, leading to rejection of the null hypothesis. Therefore, option A is the correct answer.

If You Expect That the Distribution of Observed Data Differ