Non Parametric Test

The Mann-Whitney U test is preferred to a t-test when

• Data are paired
• Sample sizes are small
• The assumption of normality is not met
•  Sample is dependent

What is the purpose of Nonparametric tests?

• To perform regression analysis

• To analyze data without assuming a specific distribution

• To compare means and variances

• To test for normally distributed data

When are Nonparametric tests used?

• When data violates assumptions of parametric tests

• When data is normally distributed

• When there are only two groups to compare

• When outliers are present in the data

Which of the following is an example of a nonparametric test?

• T-test

• Correlation test

• ANOVA

• Chi-square test

Which of the following is a nonparametric test for comparing two independent groups?

• Wilcoxon signed-rank test

• Friedman test

• Kruskal-Wallis test

• Mann-Whitney U test

What is the alternative hypothesis in a nonparametric test?

• There is a difference between the groups

• There is an association between the variables

• There is a correlation between the variables

• There is no difference between the groups

Which of the following is a nonparametric test for comparing three or more independent groups?

• Friedman test

• Mann-Whitney U test

• Kruskal-Wallis test

• Wilcoxon signed-rank test

Which of the following is a nonparametric test for comparing paired data?

• Kruskal-Wallis test

• Mann-Whitney U test

• Wilcoxon signed-rank test

• Friedman test

The Kruskal-Wallis test is an extension of which parametric test?

• t-test

• ANOVA

• Chi-square test

• Regression analysis