Testing Normality

Checking the normality assumption in statistical procedures, particularly parametric tests, is very important as the validity of the conclusions drawn from such techniques depend to a large extent on the validity of this assumption among others. A number of methods have been proposed for assessing the validity of this assumption in statistical procedures. This book addresses the performance of eighteen of the available tests for different sample sizes, significance levels, and for a number of symmetric and asymmetric distributions through the conduct of Monte-Carlo simulation.

Autorentext

James O. Adefisoye was born in Ile-Ife, Nigeria. He holds a Master s degree in Statistics from Florida International University, Miami.He currently works as a statistician for the non-profit organization, Baptist Health South Florida.He is also the author of Methods in Statistical Analysis: A Computer Integrated Data Analysis Approach.