Analysis Of Covariance

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Analysis of Covariance:

Analysis of Covariance:
Author :
Publisher : Xlibris Corporation
Total Pages : 153
Release :
ISBN-10 : 9781453567715
ISBN-13 : 1453567712
Rating : 4/5 (712 Downloads)

Book Synopsis Analysis of Covariance: by : Dr. Stephen L. Berman

Download or read book Analysis of Covariance: written by Dr. Stephen L. Berman and published by Xlibris Corporation. This book was released on 2010-10-30 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Analysis of Covariance is a wonderful, clever, perhaps ingenious and inspirational technique for using statistical projections to adjust predictor variables in groups which are biased due to inequities in variables initially used to create these groups. In Biology, Psychology, Sociology, Business, Psycho-Dynamics in Human Relations, and Medicine, for example, groups used in experiments are often not equated on initial variables which can be experimentally controlled. Therefore, these inequities on initial variables ordinarily would bias results when different treatments are applied to these groups. However, using Analysis of Covariance, through a fascinating statistical application of projections, these diverse groups can be balanced through solely statistical means, to give highly accurate group comparisons. This material would be ideal for all students of mathematics, social science, and science who desire an absolutely readable and enjoyable walk through a fascinating subject, with each step thoroughly understandable. In addition to being very practical and useful, students who had found statistics complex and difficult may now be greatly surprised at their understanding, great interest, and enthusiasm for this subject. In high schools, this book may be a great supplement to courses in statistics, and, particularly, in Advanced Placement Statistics. In colleges, and in advanced high schools, in addition to supplementing statistics courses, the text may be of great value in courses with a research component, as Experimental Psychology, and Experimental Biology.


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