Inferential statistical analyses that are NOT based on a set of assumptions about the underlying population are:
A) inaccurate.
B) permissible only when certain assumptions about the sample are met.
C) nonparametric tests.
D) parametric tests.

Question

Quizplus · Accepted Answer

Nonparametric tests are designed to be used when assumptions about the population are not met or when there is limited information about the population. These tests do not require assumptions about the underlying population and can provide a meaningful analysis of the data even when the sample is small, skewed, or contains outliers. Examples of nonparametric tests include the Wilcoxon rank sum test, Mann-Whitney U test, and Kruskal-Wallis test.

Inferential Statistical Analyses That Are NOT Based on a Set