The main difference between parametric & nonparametric statistics is that parametric statistics:
A)Makes no assumptions about the population distribution
B)Assumes that the population distribution is normally skewed
C)Assumes that the population distribution is normally distributed
D)Cannot be used when dependent measured on ratio & interval scales
E)All of these are correct

Question

Quizplus · Accepted Answer

Parametric statistics assumes that the population distribution is normally distributed. This means that the data is assumed to be approximately normally distributed, and this assumption is used to make inferences about the population parameters. Nonparametric statistics, on the other hand, requires fewer assumptions about the population distribution and is often used when the normality assumption is violated or when the data is measured on ordinal or nominal scales. Thus, the correct choice is C.

The Main Difference Between Parametric & Nonparametric Statistics Is That