When using a nonparametric test (in contrast to a parametric hypothesis test) the:
A) range of variables available for statistical analysis is reduced.
B) sample size should be very large.
C) testing power is increased.
D) risk of committing a Type II error is increased.

Question

Quizplus · Accepted Answer

Nonparametric tests generally have less power than their parametric counterparts, meaning they are more likely to fail to reject a false null hypothesis, which increases the risk of committing a Type II error.

When Using a Nonparametric Test (In Contrast to a Parametric