Parametric tests are more versatile than nonparametric tests.

Question

Quizplus · Accepted Answer

Parametric tests make assumptions about the underlying distribution of the data, but in exchange for these assumptions, they are generally more powerful and efficient than nonparametric tests. Parametric tests can also handle a wider range of data types and can provide more precise estimates of parameters. Nonparametric tests, on the other hand, do not require any assumptions about the underlying distribution but may be less powerful and less versatile in certain situations.

Parametric Tests Are More Versatile Than Nonparametric Tests