Explain these differences between Parametric tests and nonparametric tests.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter2: Linear Equations
Section: Chapter Questions
Problem 8SGR
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Explain these differences between Parametric tests and nonparametric tests.
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A parametric test is a test in which you assume as working hypothesis an underlying distribution for your data, while a non-parametric test is a test done without assuming any particular distribution. Common examples of parametric tests are z-tests and f-tests, and of non-parametric tests are the rank-sum test or the permutation and resampling tests.
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