Non-parametric Tests Quiz

What is the purpose of the Mann-Whitney U Test?

• To determine the correlation between two variables

• To compare three or more independent groups

• To assess the impact of a treatment within the same group

• The purpose of the Mann-Whitney U Test is to compare two independent groups to see if there is a significant difference between them.

When should you use the Kruskal-Wallis Test?

• When you have paired data

• When you have one independent group

• When you have only two independent groups

• When you have three or more independent groups

What type of data is suitable for the Wilcoxon Signed-Rank Test?

• Continuous data

• Independent data

• Categorical data

• Paired data

What does the Friedman Test assess?

• Statistically significant differences between groups with ordinal or continuous dependent variable and nominal independent variable

• Comparing means of multiple groups with continuous dependent variable and nominal independent variable

• Assessing differences between groups with continuous dependent variable and ordinal independent variable

• Measuring correlation between two continuous variables

In the Sign Test, what is the null hypothesis?

• There is a significant difference between the two groups being compared.

• The sample size is too small to draw any conclusions.

• There is no difference between the two groups being compared.

• The data is not normally distributed.

What is the alternative hypothesis in the Mann-Whitney U Test?

• There is a difference between the distributions of the two groups being compared.

• The test assumes normality of the data.

• The sample size is too small to draw any conclusions.

• There is no difference between the distributions of the two groups being compared.

Tags

CCSS.HSS.IC.B.3

How many groups can be compared using the Kruskal-Wallis Test?

• Two groups

• Three or more groups

• One group

• Four or more groups

What is the main difference between the Wilcoxon Signed-Rank Test and the Mann-Whitney U Test?

• The Wilcoxon Signed-Rank Test requires equal sample sizes, while the Mann-Whitney U Test does not.

• The Wilcoxon Signed-Rank Test is parametric, while the Mann-Whitney U Test is non-parametric.

• The Wilcoxon Signed-Rank Test is for paired samples, while the Mann-Whitney U Test is for independent samples.

• The Wilcoxon Signed-Rank Test assumes normality, while the Mann-Whitney U Test does not.

What is the critical value used in the Friedman Test?

• Always 1.96

• Fixed at 10

• Depends on the degrees of freedom and significance level

• Depends on the sample size

Tags

CCSS.HSS.ID.A.4

What is the key assumption of the Sign Test?

• The data is normally distributed

• The key assumption is that the differences between pairs of observations are independent and identically distributed.

• The sample size is too small to draw conclusions

• The differences between pairs of observations are not independent or identically distributed

Tags

CCSS.HSS.ID.B.6B