Which of the following is not a true difference between a parametric and nonparametric test?
A) parametric tests are generally using estimates of population parameters whereas nonparametric tests do not
B) Parametric tests use quantitative data and nonparametric tests are generally used when the data are qualitative, or skewed
C) Parametric tests are inferential tests that produce p-values, and nonparametric tests are not.
D) A chi-square test is not a parametric test. It is a nonparametric test.

Question

Quizplus · Accepted Answer

Parametric and nonparametric tests both are inferential tests that can produce p-values. The distinction lies in the assumptions they make about the data's distribution, not in their ability to generate p-values.

Which of the Following Is Not a True Difference Between