A self-contained, comprehensive treatment of variance and regression analysis suitable for students and researchers who may not have a calculus background. Models, tests, assumptions and confidence intervals allow readers to locate the material, know when to do the analysis, and correctly interpret results. New information in this edition, not found in other texts at this level, includes discussions of widely used computer program to perform the analysis, and a new chapter on repeated measures designs.
I checked Dr. Mickey's textbook out from Tsing-Hua Univ (Taiwan) Library for preparing my MBA thesis regarding the interaction effects. Given the widespread use of the SPSS or SAS, this practical and concise volume is suitable for premiere researchers and veteran practitioners.
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