A chi-square goodness-of-fit test leads to a decision to retain the null hypothesis.Which of the following correctly explains this decision?
A) Frequencies observed were significantly different from frequencies expected at each level of the categorical variable.
B) Frequencies observed were significantly different from frequencies expected across the levels of the categorical variable.
C) Frequencies observed were significantly different from frequencies expected within and between expected frequencies.
D) Frequencies observed were statistically similar to the frequencies expected at each level of the categorical variable.

Question

Quizplus · Accepted Answer

The decision to retain the null hypothesis indicates that there was no significant difference between the observed and expected frequencies. Therefore, option D, which states that the observed frequencies were statistically similar to the expected frequencies at each level, correctly explains this decision. Options A, B, and C indicate significant differences between the observed and expected frequencies, which would lead to rejection of the null hypothesis.

A Chi-Square Goodness-Of-Fit Test Leads to a Decision to Retain