The Kruskal-Wallis test has less basic assumptions than the F-test for a completely randomize design. Determine the conditions under which we will use the Kruskal-Wallis test.
A) The k treatments are all drown from normal distributions with the same variance.
B) The k populations or treatment distributions all have a different shape and variability.
C) The k populations or treatment distributions all have the same shape and variability.
D) The k populations or treatment distributions all have a symmetric shape and different variability.

Question

Quizplus · Accepted Answer

The Kruskal-Wallis test is a non-parametric method used when the k populations or treatment distributions have the same shape and variability, but not necessarily normal distributions. It is used when the assumptions of the F-test (normality and equal variances) are not met.

The Kruskal-Wallis Test Has Less Basic Assumptions Than the F-Test