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

Title
Descriptive statistics and normality tests for statistical data
Author
Mishra, Prabhaker 1 ; Pandey, Chandra 1 ; Singh, Uttam 1 ; Gupta, Anshul 2 ; Sahu, Chinmoy 3 ; Keshri, Amit 4 

 Department of Biostatistics and Health Informatics, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh 
 Department of Haematology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh 
 Department of Microbiology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh 
 Department of Neuro-Otology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh 
Pages
67-72
Publication year
2019
Publication date
Jan/Mar 2019
Publisher
Medknow Publications & Media Pvt. Ltd.
ISSN
09719784
e-ISSN
09745181
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2166930915
Copyright
© 2019. This work is published under https://creativecommons.org/licenses/by-nc-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.