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Normality Tests for Statistical Analysis: A Guide for Non-Statisticians

Statistical errors are common in scientific literature and about 50% of the published articles have at least one error. The assumption of normality needs to be checked for many statistical procedures, namely parametric tests, because their validity depends on it. The aim of this commentary is to ove...

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Detalles Bibliográficos
Autores principales: Ghasemi, Asghar, Zahediasl, Saleh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Kowsar 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3693611/
https://www.ncbi.nlm.nih.gov/pubmed/23843808
http://dx.doi.org/10.5812/ijem.3505
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author Ghasemi, Asghar
Zahediasl, Saleh
author_facet Ghasemi, Asghar
Zahediasl, Saleh
author_sort Ghasemi, Asghar
collection PubMed
description Statistical errors are common in scientific literature and about 50% of the published articles have at least one error. The assumption of normality needs to be checked for many statistical procedures, namely parametric tests, because their validity depends on it. The aim of this commentary is to overview checking for normality in statistical analysis using SPSS.
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spelling pubmed-36936112013-07-10 Normality Tests for Statistical Analysis: A Guide for Non-Statisticians Ghasemi, Asghar Zahediasl, Saleh Int J Endocrinol Metab Statistical Comment Statistical errors are common in scientific literature and about 50% of the published articles have at least one error. The assumption of normality needs to be checked for many statistical procedures, namely parametric tests, because their validity depends on it. The aim of this commentary is to overview checking for normality in statistical analysis using SPSS. Kowsar 2012-04-20 2012 /pmc/articles/PMC3693611/ /pubmed/23843808 http://dx.doi.org/10.5812/ijem.3505 Text en Copyright © 2012, Research Institute For Endocrine Sciences and Iran Endocrine Society http://creativecommons.org/licenses/by/3/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Statistical Comment
Ghasemi, Asghar
Zahediasl, Saleh
Normality Tests for Statistical Analysis: A Guide for Non-Statisticians
title Normality Tests for Statistical Analysis: A Guide for Non-Statisticians
title_full Normality Tests for Statistical Analysis: A Guide for Non-Statisticians
title_fullStr Normality Tests for Statistical Analysis: A Guide for Non-Statisticians
title_full_unstemmed Normality Tests for Statistical Analysis: A Guide for Non-Statisticians
title_short Normality Tests for Statistical Analysis: A Guide for Non-Statisticians
title_sort normality tests for statistical analysis: a guide for non-statisticians
topic Statistical Comment
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3693611/
https://www.ncbi.nlm.nih.gov/pubmed/23843808
http://dx.doi.org/10.5812/ijem.3505
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