Skip to content

Opening book details…

About this document

Understanding Parametric Tests by Praise Samuel is a document available to read on EtoBox.

The document defines parametric and non-parametric tests. Parametric tests make assumptions about the population distribution and use means, while non-parametric tests do not require assumptions and use medians. Some key differences are that parametric tests use interval data and assume normal distributions, while non-parametric tests use ordinal data. Common parametric tests include t-tests and linear regression, while common non-parametric tests include Spearman

Author
Praise Samuel
Language
EN