Which of the following best describes when a non-parametric test for comparing two or more populations should be used instead of its parametric counterpart?
A) When the sample sizes are large.
B) When the populations are normally distributed.
C) When the data are ordinal (ranked) or numerical and non-normal.
D) When the data are numerical.

Question

Quizplus · Accepted Answer

Non-parametric tests should be used when the data are ordinal or numerical and non-normal, as these tests do not assume a specific distribution of the data (unlike parametric tests). Therefore, this option is the best choice. Option A is incorrect because non-parametric tests can be used for any sample size. Option B is incorrect because parametric tests are specifically designed for normally distributed data. Option D is too broad and does not accurately describe when non-parametric tests should be used.

Which of the Following Best Describes When a Non-Parametric Test