Given that a goodness-of-fit test has the null hypothesis rejected, what is the next step in investigating the distribution?

Question

Quizplus · Accepted Answer

When the null hypothesis of a goodness-of-fit test is rejected, it indicates that the observed data does not fit the expected distribution. In order to investigate the distribution further, one should compare both observed and expected percentages as well as cell counts. Additionally, looking for larger components of the chi-square statistic can provide insights into which categories are contributing the most to the lack of fit. Therefore, all of the above steps are necessary to gain a better understanding of the distribution.

Given That a Goodness-Of-Fit Test Has the Null Hypothesis Rejected