Using a non-parametric test, when a parametric test should have been used, tends to
A) reduce the likelihood of rejecting Ho
B) increase the likelihood of rejecting Ho
C) over-estimate the difference between the sample mean and the parameter mean
D) none of these

Question

Quizplus · Accepted Answer

Using a non-parametric test when a parametric test should have been used tends to reduce the likelihood of rejecting Ho. This is because non-parametric tests are generally less powerful than parametric tests, meaning they are less able to detect a true difference between groups or variables. Therefore, using a non-parametric test may result in failing to reject the null hypothesis when it should have been rejected.

Using a Non-Parametric Test, When a Parametric Test Should Have