•  
  •  
 

Keywords

Normality, Skewness, Kurtosis, test, normal distribution.

Disciplines

Business | Engineering | Physical Sciences and Mathematics

Abstract

The normal distribution (bell curve or Gaussian distribution) is a distribution that happens commonly in many circumstances. Real-life data rarely, if ever, follow a perfect normal distribution. Many tests are useful to test normality and more particularly skewness and kurtosis tests assess the comparability of a given distribution from a normal distribution. These tests are widely used in statistics, business, and epidemiological data including blood pressure, heights, IQ scores and measurement errors. This report provides a review assessing the essential methods employed for testing normality and highlighting the importance of skewness and Kurtosis in statistics. Moreover, it gives some examples of the importance of normality in epidemiological health studies analysis.

Author ORCID Identifier

Georges Hatem - https://orcid.org/0000-0003-0964-9722

Joe Zeidan - https://orcid.org/0000-0002-6989-7392

Mathijs Goossens - https://orcid.org/0000-0002-6712-2796

Carla Moreira - https://orcid.org/0000-0002-0570-0650

DOI

https://www.doi.org/10.54729/KTPE9512

ISSN

2706-784X

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.