Controversy exists over the relative merits of parametric and nonparametric tests with respect to power.

Question

Quizplus · Accepted Answer

The controversy stems from the fact that parametric tests, which assume a specific distribution for the data, are generally more powerful for detecting true effects when their assumptions are met, while nonparametric tests, which do not make such assumptions, can be more robust and applicable in a wider range of situations but may have less power to detect effects under certain conditions.

Controversy Exists Over the Relative Merits of Parametric and Nonparametric