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Intermediate Statistics For Dummies

Download or Read eBook Intermediate Statistics For Dummies PDF written by Deborah J. Rumsey and published by John Wiley & Sons. This book was released on 2007-02-26 with total page 386 pages. Available in PDF, EPUB and Kindle.
Intermediate Statistics For Dummies
Author :
Publisher : John Wiley & Sons
Total Pages : 386
Release :
ISBN-10 : 9780470147740
ISBN-13 : 0470147741
Rating : 4/5 (40 Downloads)

Book Synopsis Intermediate Statistics For Dummies by : Deborah J. Rumsey

Book excerpt: Need to know how to build and test models based on data? Intermediate Statistics For Dummies gives you the knowledge to estimate, investigate, correlate, and congregate certain variables based on the information at hand. The techniques you’ll learn in this book are the same techniques used by professionals in medical and scientific fields. Picking up right where Statistics For Dummies left off, this straightforward, easy-to-follow book guides you beyond Central Limit Theorem and hypothesis tests and immerses you in flavors of regression, ANOVA, and nonparametric procedures. Unlike regular statistics books, this guide provides full explanations of intermediate statistical ideas; computer input dissection; an extensive number of examples, tips, strategies, and warnings; and clear, concise step-by-step procedures—all in a language you can understand. You’ll soon discover how to: Analyze data and base models off of your data Make predictions using regression Compare many means with ANOVA Test models using Chi-square Dealing with abnormal data In addition, this book includes a list of wrong statistical conclusions and common questions that professors ask using computer output. This book also adopts a nonlinear approach, making it possible to skip to the information you need without having to read previous chapters. With Intermediate Statistics For Dummies, you’ll have all the tools you need to make important decisions in all types of professional areas—from biology and engineering to business and politics!


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