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Descriptive Statistics and Normality Tests for Statistical Data

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...

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Detalles Bibliográficos
Autores principales: Mishra, Prabhaker, Pandey, Chandra M, Singh, Uttam, Gupta, Anshul, Sahu, Chinmoy, Keshri, Amit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6350423/
https://www.ncbi.nlm.nih.gov/pubmed/30648682
http://dx.doi.org/10.4103/aca.ACA_157_18
Descripción
Sumario: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.