KRUSKAL WALLIS TEST

1. 1. The Kruskal-Wallis test is used to compare how many samples :

• A. Two independent samples
  

• B. More than two related samples

• C. More than two independent samples

• D. One sample at two time points

2. The Kruskal-Wallis test is a :

• A. Parametric test

• B. Non-parametric test

• C. Z-test

• D. T-test

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3. Which of the following assumptions is NOT required for the Kruskal-Wallis test?

• A. Random sampling

• B. Normal distribution

• C. Independent observations

• D. Ordinal or continuous data

4. The Kruskal-Wallis test is an alternative to which parametric test?

• A. Independent t-test

• B. One-way ANOVA

• C. Paired t-test

• D. Chi-square test

5. In the Kruskal-Wallis test, what is ranked before calculating the test statistic?

• A. Means of groups

• B. Medians of groups

• C. Raw data values

• D. Ranks of all observations across groups

6. What type of data is suitable for the Kruskal-Wallis test?

• A. Nominal

• B. Ordinal or interval (non-normal)

• C. Ratio with normal distribution

• D. Only binary

7. 7. After finding a significant result in the Kruskal-Wallis test, what should be done next?

• A. Do nothing, the test is complete

• B. Perform post-hoc tests

• C. Re-run the test with fewer groups

• D. Convert to ANOVA

8. 8. The Kruskal-Wallis test is used to compare the means of more than two groups.

• True
• False

The Kruskal-Wallis test is a non-parametric alternative to one-way ANOVA.

• True
• False

The Kruskal-Wallis test assumes that the data in each group are normally distributed.

• True
• False