Nonparametric Tests Can Be Appropriate for Quantitative Data When

Multiple Choice

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.