Parametric and Non-Parametric Tests Quiz

Which of the following is true about parametric tests?

• They are used when data does not follow a normal distribution

• They assume homogeneity of variance

• They do not require knowledge of the population parameters

• They are less powerful than non-parametric tests

Parametric tests generally require which assumption about the data?

• It is non-continuous

• It is not normally distributed

• It is normally distributed

• It has equal sample sizes

Which of the following is an example of a non-parametric test?

• Paired t-test

• ANOVA

• Mann-Whitney U test

• Linear regression

Non-parametric tests are typically used when:

• The sample size is large

• Data is ordinal or not normally distributed

• Population variance is known

• There is an assumption of homoscedasticity

Which of the following tests is a parametric test?

• Wilcoxon Signed-Rank test

• Kruskal-Wallis test

• Independent samples t-test

• Spearman's rank correlation

Which of the following statements is true about non-parametric tests?

• They require fewer assumptions about the population

• They are less robust than parametric tests

• They cannot be used with ordinal data

• They assume normality of the data

When should you use a parametric test over a non-parametric test?

• When data is non-continuous

• When data is normally distributed

• When the sample size is small

• When the data contains outliers

Properties of t-Test The independent samples t-test is used to:

• Compare two related groups

• Compare the means of two independent groups

• Compare more than two groups

• Test for correlation between two variables

Which of the following is an assumption of the t-test?

• The samples are dependent

• The data has unequal variances

• The data comes from populations with equal variances (homogeneity of variance)

• The data is ordinal

In a paired t-test, what is the primary condition for the samples?

• The samples must be independent

• The samples are paired or related

• The variances between samples must be unequal

• The test is used to compare more than two groups