An observatory note on tests for normality assumptions
Abstract
Purpose
The purpose of this paper is to discuss how numerous tests that are available in statistical literature to assess normality of a given set of observations perform in normal and near-normal situations. Not all these tests are suitable for all situations but each test has an exclusive area of application.
Design/methodology/approach
These tests are assessed for their power at varying degrees of skewness, kurtosis and sample size on the basis of simulated experiments.
Findings
It is observed that almost all these tests are indifferent for smaller values of skewness and kurtosis. Further, the power of accepting normality reduces with increasing sample size.
Originality/value
The article gives guidelines to researchers to apply normality assessing tests in different situations.
Keywords
Citation
F. Siddiqi, A. (2014), "An observatory note on tests for normality assumptions", Journal of Modelling in Management, Vol. 9 No. 3, pp. 290-305. https://doi.org/10.1108/JM2-04-2014-0032
Publisher
:Emerald Group Publishing Limited
Copyright © 2014, Emerald Group Publishing Limited