Assumptions of Statistical Tests: What Lies Beneath

Daniel C. Jupiter

doi:10.1053/j.jfas.2017.05.022

Assumptions of Statistical Tests: What Lies Beneath

Daniel C. Jupiter

Biostatistics & Data Science

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

We have discussed many statistical tests and tools in this series of commentaries, and while we have mentioned the underlying assumptions of the tests, we have not explored them in detail. We stop to look at some of the assumptions of the t-test and linear regression, justify and explain them, mention what can go wrong when the assumptions are not met, and suggest some solutions in this case.

Original language	English (US)
Pages (from-to)	910-913
Number of pages	4
Journal	Journal of Foot and Ankle Surgery
Volume	56
Issue number	4
DOIs	https://doi.org/10.1053/j.jfas.2017.05.022
State	Published - Jul 2017

Keywords

homoscedasticity
independence
linearity
normality

ASJC Scopus subject areas

Surgery
Orthopedics and Sports Medicine

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10.1053/j.jfas.2017.05.022

Cite this

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Assumptions of Statistical Tests: What Lies Beneath

Abstract

Keywords

ASJC Scopus subject areas

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