How Abnormal Is Normality?
Copyright: 1971, ASQC Author: Hahn, Gerald J. Organization: Research and Development Center, General Electric Company, Schenectady, NY Subject: Normal distribution,Normality,Transformation; Series: Journal of Quality Technology, Vol. 3, No. 1, January 1971, pp. 18-22 This ARTICLE is available for FREE to ASQ members with the appropriate membership type and/or magazine subscriptions. If you are signed-in you should be able to download articles you are entitled to receive. If you have questions about your membership please contact Customer Care at 800-248-1946 or help@asq.org Abstract: Many statistical analyses directly or indirectly assume that the population from which the sample was drawn is normally distributed. This article examines conditions under which one might or might not expect some variable to be normally distributed, indicates procedures which may be used to check the normality assumption, suggests transformations to achieve a better approximation to normality, and comments
