Controversy over the relative merits of parametric and nonparametric tests exists with respect to
A) whether to use a random sample
B) power
C) both whether to use a random sample and power
D) neither whether to use a random sample nor power.

Question

Quizplus · Accepted Answer

The controversy over the relative merits of parametric and nonparametric tests often centers on their power. Parametric tests, which assume a specific distribution form for the data, are generally more powerful than nonparametric tests when their assumptions are met. Nonparametric tests, which do not assume a specific distribution, are less powerful but more flexible and can be used when parametric test assumptions cannot be satisfied. The choice between them does not inherently involve whether to use a random sample, as both types of tests require random sampling for the validity of their results.

Controversy Over the Relative Merits of Parametric and Nonparametric Tests