An important difference between parametric statistics and nonparametric statistics is that nonparametric statistics is distribution free, whereas parametric statistics:
A) Assumes linearity.
B) Is sensitive to gender and age.
C) Presumes a Gaussian distribution.
D) Accepts all outliers.

Question

Quizplus · Accepted Answer

Parametric statistics assume that the data follows a specific distribution, typically a Gaussian (normal) distribution. This assumption allows for the use of specific statistical tests that rely on this distributional assumption. Nonparametric statistics, on the other hand, do not require the data to follow any specific distribution, making them more flexible in handling data that does not fit the normal distribution.

An Important Difference Between Parametric Statistics and Nonparametric Statistics Is