Inferential Statistics: Parametric vs. Non-Parametric Tests

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When would you use the Friedman-Test?

The Friedman-Test is used to compare three or more different or paired (Before & After) groups.

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

The purpose of the Kruskal-Wallis H-test is to compare the means/median of more than two independent groups.

What are the non-parametric tests mentioned in the text?

The non-parametric tests mentioned in the text are: One-Sample Wilcoxon Test, Mann-Whitney U-test, Paired Samples Wilcoxon Test, Kruskal-Wallis H-test, and Friedman-Test.

What does the Pearson Correlation measure?

The Pearson Correlation measures the degree and direction of relationship between two variables.

What is the purpose of Regression Tests?

The purpose of Regression Tests is to assess the relationship between a dependent variable and one or more independent variables.

This quiz covers the concepts of inferential statistics, focusing on the comparison of parametric and non-parametric tests. It includes topics such as one-sample t-test, independent samples t-test, one-way ANOVA, Mann-Whitney U-test, and more.

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