Question

s it true that parametric tests are generally more powerful than nonparametric tests? If so, give two reasons why you might choose to use a nonparametric test instead of a parametric test.

Answer 1

A parametric test (e.g., chi-square) assumes an underlying distribution, whereas non-parametric tests do not. If the assumption is correct, fine, but if not, that is a weakness.