In a chi-square goodness-of-fit-test, the larger the difference between the set of expected frequencies and the set of observed frequencies:
A) The more likely we are to conclude that the observed distribution is similar to the expected distribution
B) The more likely it will be that we will not reject the null hypothesis
C) The more likely we will reject the null hypothesis.
D) The more likely we will be to not accept the alternative hypothesis.

Question

Quizplus · Accepted Answer

A larger difference between expected and observed frequencies increases the chi-square statistic, making it more likely to reject the null hypothesis that the observed distribution fits the expected distribution.

In a Chi-Square Goodness-Of-Fit-Test, the Larger the Difference Between the Set