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Descriptive statistics and normality tests for statistical data

Authors :
Prabhaker Mishra
Chandra M Pandey
Uttam Singh
Anshul Gupta
Chinmoy Sahu
Amit Keshri
Source :
Annals of Cardiac Anaesthesia, Vol 22, Iss 1, Pp 67-72 (2019)
Publication Year :
2019
Publisher :
Wolters Kluwer Medknow Publications, 2019.

Abstract

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.

Details

Language :
English
ISSN :
09719784
Volume :
22
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Annals of Cardiac Anaesthesia
Publication Type :
Academic Journal
Accession number :
edsdoj.f8c78bf261b445208b0442d335e8c30a
Document Type :
article
Full Text :
https://doi.org/10.4103/aca.ACA_157_18