QM2 Lecture W12

The Kruskal-Wallis H test is suitable for comparing more than two independent groups when data are not normally distributed.

• True

• False

The Friedman test is a parametric test for comparing repeated measures across multiple conditions.

• True

• False

What type of data is required for the Mann-Whitney U test?

• Paired data

• Nominal data

• Independent samples with ordinal data

• Normally distributed continuous data

Which of the following is a key assumption of the Wilcoxon Signed-Rank test?

• The samples must be independent.

• The data are normally distributed.

• The differences between pairs are symmetrically distributed.

• The sample size must exceed 30.

What is the primary purpose of the Kruskal-Wallis H test?

• To compare the variances of two groups.

• To test for differences in medians between more than two independent groups.

• To analyze paired data for ordinal variables.

• To test correlations between two variables.

The Friedman test is appropriate for:

• Comparing rankings of repeated measures across multiple conditions.

• Comparing medians of more than two independent groups.

• Comparing medians of two independent groups.

• Testing associations between two ordinal variables.