How do parametric tests differ from non-parametric tests?
A) They are less powerful.
B) They require more assumptions for their use.
C) They are less difficult to compute.
D) all of the above

Question

Quizplus · Accepted Answer

Parametric tests make more assumptions about the data, such as normality and equal variances, while non-parametric tests do not make such assumptions. Therefore, parametric tests require more assumptions for their use. The other options are not true in general and may depend on the specific test and data being analyzed.

How Do Parametric Tests Differ from Non-Parametric Tests