MathematicsMedicine

Prabhaker Mishra, C. Pandey, Uttam Singh, Anshul Gupta, C. Sahu, A. Keshri

2019Annals of Cardiac Anaesthesia

DOI: 10.4103/aca.aca_157_18

tlooto Summary

This study has discussed the summary measures and methods used to test the normality of the data, and each method has its own advantages and disadvantages.

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.

Citation format

MISHRA, Prabhaker, et al. Descriptive statistics and normality tests for statistical data. Annals of Cardiac Anaesthesia, 2019, 22: 67–72.