Discuss the assumptions of parametric and nonparametric statistics.

Parametric test: A statistical test, in which specific assumptions are made about the population parameter is known as parametric test.

Non parametric test: When the word “non parametric” is used in stats, it doesn’t quite mean that you know nothing about the population. It usually means that you know the population data does not have a normal distribution.

Assumptions about Parametric test

Normality: Data have aTnormal distribution (or at least is symmetric)

Homogeneity of variances: Data from multiple groups have the same variance

Linearity: Data have a linear ______ ______ _______ _________ _______ ________ __________.
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