What do you need to do if your data are not normally distributed?
A) Use post hoc tests.
B) Use parametric tests.
C) Use non-parametric tests or data transformation techniques.
D) Use Bonferroni correction.

Question

Quizplus · Accepted Answer

When data are not normally distributed, non-parametric tests or data transformation techniques are appropriate choices. Non-parametric tests do not assume a normal distribution of the data, making them suitable for analyzing data that deviate from normality. Data transformation techniques can sometimes normalize the distribution, allowing for the use of parametric tests.

What Do You Need to Do If Your Data Are