The Kruskal-Wallis test is a non-parametric statistical method used to determine if there are statistically significant differences between the medians of three or more independent groups. It is an extension of the Mann-Whitney U test and is particularly useful when the assumptions of ANOVA are not met, such as when the data is not normally distributed or when sample sizes are small.

Kruskal-Wallis Test

Kruskal-Wallis test

non-parametric statistical method

statistically significant differences

medians of three or more independent groups

The Mann-Whitney U test is a non-parametric statistical test used to determine whether there is a significant difference between the distributions of two independent groups. It is particularly useful when the data do not meet the assumptions of normality required for a t-test, and it evaluates whether one group tends to have higher values than the other.

Mann-Whitney U test

The assumptions of ANOVA are crucial for ensuring the validity of the test results, as they underpin the statistical inferences made from the data. Violations of these assumptions can lead to incorrect conclusions, thus it's essential to check and address any potential issues before proceeding with the analysis.

CUSTOMIZE YOUR LEARNING

CUSTOMIZE YOUR LEARNING

Relevant Fields: