# Descriptive statistics and normality tests for statistical data

“Descriptive statistics and normality tests for statistical data” (2019), by Anshul Gupta et al. Mathematics research paper. Original abstract below, unchanged. No free PDF was found.

- Authors: Anshul Gupta, Prabhakar Mishra, ChandraM Pandey, Uttam Singh, Chinmoy Sahu, Amit Kumar Keshri
- Published: January 1, 2019
- Field: Mathematics
- DOI: https://doi.org/10.4103/aca.aca_157_18
- Source: https://doi.org/10.4103/aca.aca_157_18

## 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.

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