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 of the assumptions for a particular parametric statistical test have been met.

Question

Quizplus · Accepted Answer

Nonparametric tests may be used when one or more of the assumptions underlying a particular parametric statistical test has been violated, such as when the data is not normally distributed or when the sample size is not sufficiently large. Nonparametric tests may help maintain statistical power and accuracy under such circumstances.

Nonparametric Tests Can Be Appropriate for Quantitative Data When