Intermediate Statistics For Dummies free download online

Title: Intermediate Statistics For Dummies
Author(s): Deborah, Ph.D. Rumsey
Pages: 362
Publisher: For Dummies
Publication date: 2007
Language: English
Format: PDF
ISBN-10: 0470045205
ISBN-13:
Description: 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! From the Back Cover Packed with examples, steps for problem-solving, and computer output The fun and easy way to analyze data, build models, and get ahead in your class Take your statistics skills to the next level! This easy-to-follow guide walks you through second-semester topics, explaining everything from t-tests and regression to ANOVA, sign tests, and fitting curves to your data. You'll see how to identify and work through problems, avoid common errors, understand the jargon - and even improve your grade with savvy strategies. Discover how to * Review and extend intro stat methods * Make predictions with multiple regression * Compare many means by using ANOVA * Use Chi-square to test for independence * Understand and use nonparametric statistics

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