The major advantage of distribution-free tests is that
A) they do not rely on assumptions as severe as those for parametric tests.
B) they have more power.
C) they are substantially easier to run.
D) they are more common.

Question

Quizplus · Accepted Answer

Distribution-free tests, also known as nonparametric tests, do not make assumptions about the underlying distribution of the population, which can be an advantage when data does not follow a normal distribution or when small sample sizes are used. This increases their robustness and makes them suitable for a wider variety of situations. However, they may have less power than parametric tests, meaning that they may be less likely to detect smaller effects.

The Major Advantage of Distribution-Free Tests Is That