The non-parametric test that requires at least ordinal level data and that examines the entire distribution of a variable within two samples (and identifies the point at which the two samples differ the most) is:
A) Mann-Whitney U
B) Kolmogorov-Smirnov
C) Kruskal-Wallis
D) Wilcoxon sign

Question

Quizplus · Accepted Answer

The Kolmogorov-Smirnov test is a non-parametric test that requires at least ordinal level data and examines the entire distribution of a variable within two samples. It identifies the point at which the two samples differ the most, making it a useful test for determining if two samples come from different populations. The Mann-Whitney U test is also a non-parametric test that can be used to compare two samples, but it only examines the rank order of the data, not the entire distribution. The Kruskal-Wallis test is used for comparing three or more groups and requires at least ordinal level data. The Wilcoxon signed-rank test is used to compare two related samples, rather than two independent samples.

The Non-Parametric Test That Requires at Least Ordinal Level Data