Nonparametric tests can be appropriate for quantitative data when:
A) one or more of the assumptions underlying a particular parametric statistical test has been violated
B) the sample size is very large
C) the underlying population can be assumed to be normally distributed
D) all assumptions for a particular parametric statistical test have been met
E) none of these

Question

Quizplus · Accepted Answer

Nonparametric tests are often used when the assumptions required for parametric tests are not met, such as non-normal distributions or unequal variances.

Nonparametric Tests Can Be Appropriate for Quantitative Data When