When data are normally distributed, using a nonparametric test (rather than its parametric counterpart) is more likely to lead to ______.

Question

Quizplus · Accepted Answer

Nonparametric tests are less powerful than parametric tests when the assumptions of the parametric tests are met, such as the assumption of normality. Therefore, using a nonparametric test when data are normally distributed increases the risk of a Type II error, which is failing to reject a false null hypothesis (i.e., missing a real effect).

When Data Are Normally Distributed, Using a Nonparametric Test (Rather