When is a nonparametric test of significance most appropriate?
A) When the population scores are normally distributed
B) When group variances are about equal
C) When the scores are derived from a measurement with equal intervals
D) When the scores are in the form of ranks

Question

Quizplus · Accepted Answer

Nonparametric tests of significance are most appropriate when the data being analyzed is non-normal and/or when assumptions of equal variances or interval measurement cannot be met. Nonparametric tests use ranks or ordinal data rather than numerical scores, which makes them more appropriate in situations where the assumptions of parametric tests are violated. Therefore, the best choice is D, when the scores are in the form of ranks.

When Is a Nonparametric Test of Significance Most Appropriate