Many nonparametric tests are called ______ because they make no assumptions regarding the shape of the distribution in the population.
A) parametric tests
B) skewed-distribution tests
C) significance-free tests
D) distribution-free tests

Question

Quizplus · Accepted Answer

Nonparametric tests are also called distribution-free tests because they do not rely on any assumptions about the specific distribution of data in the population. Parametric tests, on the other hand, make assumptions about the underlying population distribution (such as normality) in order to calculate statistical significance. Therefore, nonparametric tests are useful when dealing with non-normally distributed data or small sample sizes where the assumption of normality may not be valid.

Many Nonparametric Tests Are Called ______ Because They Make No