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Descriptive Statistics and Normality Tests for Statistical Data

Descriptive statistics are an important part of biomedical research which is used to describe the basic features of the data in the study. They provide simple summaries about the sample and the measures. Measures of the central tendency and dispersion are used to describe the quantitative data. For...

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Autores principales: Mishra, Prabhaker, Pandey, Chandra M, Singh, Uttam, Gupta, Anshul, Sahu, Chinmoy, Keshri, Amit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6350423/
https://www.ncbi.nlm.nih.gov/pubmed/30648682
http://dx.doi.org/10.4103/aca.ACA_157_18
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author Mishra, Prabhaker
Pandey, Chandra M
Singh, Uttam
Gupta, Anshul
Sahu, Chinmoy
Keshri, Amit
author_facet Mishra, Prabhaker
Pandey, Chandra M
Singh, Uttam
Gupta, Anshul
Sahu, Chinmoy
Keshri, Amit
author_sort Mishra, Prabhaker
collection PubMed
description Descriptive statistics are an important part of biomedical research which is used to describe the basic features of the data in the study. They provide simple summaries about the sample and the measures. Measures of the central tendency and dispersion are used to describe the quantitative data. For the continuous data, test of the normality is an important step for deciding the measures of central tendency and statistical methods for data analysis. When our data follow normal distribution, parametric tests otherwise nonparametric methods are used to compare the groups. There are different methods used to test the normality of data, including numerical and visual methods, and each method has its own advantages and disadvantages. In the present study, we have discussed the summary measures and methods used to test the normality of the data.
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spelling pubmed-63504232019-03-08 Descriptive Statistics and Normality Tests for Statistical Data Mishra, Prabhaker Pandey, Chandra M Singh, Uttam Gupta, Anshul Sahu, Chinmoy Keshri, Amit Ann Card Anaesth Original Article Descriptive statistics are an important part of biomedical research which is used to describe the basic features of the data in the study. They provide simple summaries about the sample and the measures. Measures of the central tendency and dispersion are used to describe the quantitative data. For the continuous data, test of the normality is an important step for deciding the measures of central tendency and statistical methods for data analysis. When our data follow normal distribution, parametric tests otherwise nonparametric methods are used to compare the groups. There are different methods used to test the normality of data, including numerical and visual methods, and each method has its own advantages and disadvantages. In the present study, we have discussed the summary measures and methods used to test the normality of the data. Medknow Publications & Media Pvt Ltd 2019 /pmc/articles/PMC6350423/ /pubmed/30648682 http://dx.doi.org/10.4103/aca.ACA_157_18 Text en Copyright: © 2019 Annals of Cardiac Anaesthesia http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Mishra, Prabhaker
Pandey, Chandra M
Singh, Uttam
Gupta, Anshul
Sahu, Chinmoy
Keshri, Amit
Descriptive Statistics and Normality Tests for Statistical Data
title Descriptive Statistics and Normality Tests for Statistical Data
title_full Descriptive Statistics and Normality Tests for Statistical Data
title_fullStr Descriptive Statistics and Normality Tests for Statistical Data
title_full_unstemmed Descriptive Statistics and Normality Tests for Statistical Data
title_short Descriptive Statistics and Normality Tests for Statistical Data
title_sort descriptive statistics and normality tests for statistical data
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6350423/
https://www.ncbi.nlm.nih.gov/pubmed/30648682
http://dx.doi.org/10.4103/aca.ACA_157_18
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