Assumptions of Statistical Tests: What Lies Beneath

Daniel Jupiter

doi:10.1053/j.jfas.2017.05.022

Assumptions of Statistical Tests: What Lies Beneath

Daniel Jupiter

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

7 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 1 2017

Keywords

homoscedasticity
independence
linearity
normality

ASJC Scopus subject areas

Surgery
Orthopedics and Sports Medicine

Access to Document

10.1053/j.jfas.2017.05.022

Cite this

@article{9ecee92050df410e92fba5995d470ef6,

title = "Assumptions of Statistical Tests: What Lies Beneath",

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.",

keywords = "homoscedasticity, independence, linearity, normality",

author = "Daniel Jupiter",

year = "2017",

month = jul,

day = "1",

doi = "10.1053/j.jfas.2017.05.022",

language = "English (US)",

volume = "56",

pages = "910--913",

journal = "Journal of Foot and Ankle Surgery",

issn = "1067-2516",

publisher = "Academic Press Inc.",

number = "4",

}

TY - JOUR

T1 - Assumptions of Statistical Tests

T2 - What Lies Beneath

AU - Jupiter, Daniel

PY - 2017/7/1

Y1 - 2017/7/1

N2 - 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.

AB - 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.

KW - homoscedasticity

KW - independence

KW - linearity

KW - normality

UR - http://www.scopus.com/inward/record.url?scp=85020854270&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85020854270&partnerID=8YFLogxK

U2 - 10.1053/j.jfas.2017.05.022

DO - 10.1053/j.jfas.2017.05.022

M3 - Article

C2 - 28633802

AN - SCOPUS:85020854270

SN - 1067-2516

VL - 56

SP - 910

EP - 913

JO - Journal of Foot and Ankle Surgery

JF - Journal of Foot and Ankle Surgery

IS - 4

ER -

Assumptions of Statistical Tests: What Lies Beneath

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this