Comparing height inches in a single group of adolescents at

Comparing height (inches) in a single group of adolescents at age 12, 14 and 16 without normally distributed data.

Repeated measures ANOVA (one-way)

Paired t-test

Wilcoxon signed rank test

Friedman repeated measures ANOVA on ranks

McNemar’s test

Solution

Correct Option (D) Friedman repeated measures ANOVA on ranks

Since the Friedman test is the non-parametric alternative to the one-way ANOVA with repeated measures. It is used to test for differences between groups when the dependent variable being measured is ordinal. It can also be used for continuous data that has violated the assumptions necessary to run the one-way ANOVA with repeated measures (e.g., data that has marked deviations from normality).