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.

Keywords

NormalityNonparametric statisticsStatisticsNormality testDescriptive statisticsStatistical hypothesis testingParametric statisticsSample (material)MedicineData miningEconometricsComputer scienceMathematics

MeSH Terms

Biomedical ResearchData InterpretationStatisticalHumansNormal Distribution

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Publication Info

Year
2019
Type
article
Volume
22
Issue
1
Pages
67-67
Citations
2242
Access
Closed

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Cite This

Prabhakar Mishra, Chandra Mani Pandey, Uttam Singh et al. (2019). Descriptive statistics and normality tests for statistical data. Annals of Cardiac Anaesthesia , 22 (1) , 67-67. https://doi.org/10.4103/aca.aca_157_18

Identifiers

DOI
10.4103/aca.aca_157_18
PMID
30648682
PMCID
PMC6350423

Data Quality

Data completeness: 86%