The decision rule in a chi-square goodness-of-fit-test is to reject the null hypothesis if the computed chi-square test statistic is:
A)greater than the table chi-square value.
B)less than the table chi-square value.
C)greater than zero.
D)greater than the number of categories.

Question

Quizplus · Accepted Answer

In a chi-square goodness-of-fit-test, we compare the observed frequencies with the expected frequencies. If the computed chi-square test statistic value is greater than the table chi-square value with (k-1) degrees of freedom at a specified level of significance, we reject the null hypothesis. This implies that there is a significant difference between the observed and expected frequencies, which indicates that the null hypothesis is false. Therefore, option A is correct.

The Decision Rule in a Chi-Square Goodness-Of-Fit-Test Is to Reject