Which of the following characteristics would lead you to choose a non-parametric test over a parametric test?
A) Skewed data
B) Having data that is not normally distributed
C) Data that are ranked
D) All of the above

Question

Quizplus · Accepted Answer

Non-parametric tests do not make any assumptions about the population distribution or variance, and are suitable for data that may not meet the assumptions of parametric tests. Skewed data and non-normality are both characteristics that indicate a lack of normality in data, which would be reasons to use non-parametric tests. Similarly, ranked data may be best suited for non-parametric tests, as these tests are better at handling ordinal or categorical data, especially where the values may not be evenly distributed.

Which of the Following Characteristics Would Lead You to Choose