Checking Normality for Parametric Tests

Marshall, E. and Samuels, P. (2017) Checking Normality for Parametric Tests. Technical Report. ResearchGate, Sheffield / Birmingham.

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Abstract

One of the assumptions for most parametric tests to be reliable is that the data is approximately normally distributed. The normal distribution peaks in the middle and is symmetrical about the mean. Data does not need to be perfectly normally distributed for the tests to be reliable.

Item Type:	Monograph (Technical Report)
Identification Number:	https://doi.org/10.13140/RG.2.2.33314.94405
Date:	3 November 2017
Subjects:	G300 Statistics
Divisions:	Faculty of Business, Law and Social Sciences > Birmingham City Business School > Dept. Management, HR and Enterprise
Depositing User:	Peter Samuels
Date Deposited:	29 Jun 2018 13:38
Last Modified:	13 May 2020 05:30
URI:	http://www.open-access.bcu.ac.uk/id/eprint/6074

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