Strange Data: When the Numbers Just Aren't Normal

Daniel Jupiter

doi:10.1053/j.jfas.2015.08.007

Strange Data: When the Numbers Just Aren't Normal

Daniel Jupiter

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

1 Scopus citations

Abstract

Many statistical tests assume that the populations from which we draw our data samples roughly follow a given probability distribution. Here, I review what these assumptions mean, why they are important, and how to deal with situations where the assumptions are not met.

Original language	English (US)
Pages (from-to)	1216-1217
Number of pages	2
Journal	Journal of Foot and Ankle Surgery
Volume	54
Issue number	6
DOIs	https://doi.org/10.1053/j.jfas.2015.08.007
State	Published - Nov 1 2015

Keywords

Kruskal-Wallis test
Nonparametric statistical test
Parametric statistical test
Wilcoxon test

ASJC Scopus subject areas

Orthopedics and Sports Medicine
Surgery

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10.1053/j.jfas.2015.08.007

Cite this

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abstract = "Many statistical tests assume that the populations from which we draw our data samples roughly follow a given probability distribution. Here, I review what these assumptions mean, why they are important, and how to deal with situations where the assumptions are not met.",

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Strange Data: When the Numbers Just Aren't Normal

Abstract

Keywords

ASJC Scopus subject areas

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