Answer:
The statement “If you reject the null hypothesis in a binomial test of proportions, a post hoc test needs to be run” can be either true or false depending on the context.
In general, a post hoc test is used after a significant result has been found in an analysis to determine which groups differ. In the context of a binomial test of proportions, if you reject the null hypothesis (i.e., you have found a significant difference between your observed proportions and the expected proportions), you might want to run a post hoc test to further investigate the data.
However, whether a post hoc test is “needed” can depend on the specific research question and study design. In some cases, rejecting the null hypothesis in a binomial test of proportions might provide sufficient information for the researcher’s purposes, and a post hoc test may not be necessary.
So, without additional context, both “true” and “false” could potentially be correct answers to this statement. It’s always best to consult with a statistician or someone knowledgeable in statistical analysis to determine the most appropriate tests for your data.
Explanation: