Asked by Jayleen Ailani on Jul 28, 2024

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The Kruskal-Wallis test can be used to test for a difference between two populations. It will produce the same outcome as the two-tail Wilcoxon rank sum test.

Kruskal-Wallis Test

A non-parametric method for testing whether samples originate from the same distribution, used when the ANOVA assumptions are not met.

Wilcoxon Rank Sum Test

A non-parametric test used to compare two independent groups and determine if there are differences in their population median values.

Two Populations

Refers to distinct groups being studied, where comparisons are often made between the statistical properties of these groups.

  • Compare and contrast the Friedman test with nonparametric methodologies like the Wilcoxon and Kruskal-Wallis tests, noting differences and similarities.
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Ethan LeakeJul 28, 2024
Final Answer :
True
Explanation :
The Kruskal-Wallis test is a non-parametric test that can be used to test for differences between two or more populations. It compares the medians of the populations, using a rank-based approach. The two-tail Wilcoxon rank sum test is also a non-parametric test that can be used to test for differences between two populations, based on their ranks. The Kruskal-Wallis test and the Wilcoxon rank sum test will produce the same outcome if used to compare only two populations. Therefore, the statement is true.