FRIEDMAN TEST PROCEDURE AND APPLICATION

1. What is the primary purpose of the Friedman test?

• To compare two independent samples with normal distribution

• To test the independence between two categorical variables

• To determine the correlation between two continuous variables 

• To analyze the differences among three or more related samples when data do not meet normality assumptions

Which of the following scenarios best illustrates the application of the Friedman test?

• Analyzing the test scores of students before and after a teaching intervention in the same class

• Comparing the effectiveness of three different medications on separate groups of patients

• Comparing the performance of employees across different departments in a company

• Measuring the relationship between hours studied and exam scores 

In the Friedman test, what is ranked within each block (or subject)?

• The treatment categories

• The number of subjects in each group

• The test scores or measurements within each subject

• The overall average scores across all subjects 

When the sample size (n) is less than 20, which type of statistical test is most appropriate for analyzing three related samples?

• Parametric repeated measures ANOVA

• Friedman test

• Chi-square test

• Independent t-test 

What is the criterion for rejecting the null hypothesis in the Friedman test?

• When the test statistic is greater than the critical value

• When the test statistic is less than the critical value

• When the p-value is greater than the significance level

• When the test statistic equals zero