To learn more about parametric tests, see the links and videos below:

• When there is an interval or ratio scale of measurement (approximately interval)

• When there is random sampling from a defined population

• When the characteristic is normally distributed in the population

• When the population variances are equal (if two or more groups/variables in the design)

When are the assumptions

SATISFIED?

A parametric test is one that makes assumptions about the parameters (defining properties) of the population distribution(s) from which one’s data are drawn, while a non-parametric test is one that makes no such assumptions

What is a

PARAMETRIC TEST?