What is a key distinction between parametric tests and nonparametric tests in terms of scales of measurement?
A) Parametric tests are used for interval and ratio data, whereas nonparametric tests are used for nominal and ordinal data.
B) Parametric tests are used for ordinal and nominal data, whereas nonparametric tests are used for interval and ratio data.
C) Parametric tests are used for ordinal or interval data, whereas nonparametric tests are used for nominal data only.
D) There is no distinction; both types of tests are used to analyze data on any scale of measurement.

Question

Quizplus · Accepted Answer

A key distinction between parametric tests and nonparametric tests is that parametric tests are used for interval and ratio data, while nonparametric tests are used for nominal and ordinal data. This is because parametric tests assume that the data follows a normal distribution and have specific requirements for the data, such as equal variances, which are not necessary for nonparametric tests. Nonparametric tests are also more robust to outliers and non-normal data distributions.

What Is a Key Distinction Between Parametric Tests and Nonparametric