Intermediate Statistics for Dummies

✍ Scribed by Rumsey, Deborah J

• Publisher: For Dummies
• Year: 2007
• Tongue: English
• Leaves: 385
• Series: For Dummies (Math & Science)
• Category: Library

✦ Synopsis

Need to know how to build and test models based on data?Intermediate Statistics For Dummiesgives 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 whereStatistics For Dummiesleft 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. WithIntermediate 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!

✦ Table of Contents

Cover......Page 1
Contents at a Glance......Page 10
Part I Data Analysis and Model- Building Basics......Page 26
Chapter 1 Beyond Number Crunching: The Art and Science of Data Analysis......Page 28
Chapter 2 Sorting through Statistical Techniques......Page 50
Chapter 3 Building Confidence and Testing Models......Page 68
Part II Making Predictions By Using Regression......Page 86
Chapter 4 Getting in Line with Simple Linear Regression......Page 88
Chapter 5 When Two Variables Are Better than One: Multiple Regression......Page 106
Chapter 6 One Step Forward and Two Steps Back: Regression Model Selection......Page 126
Chapter 7 When Data Throws You a Curve:Using Nonlinear Regression......Page 148
Part III Comparing Many Means with ANOVA......Page 178
Chapter 9 Going One-Way with Analysis of Variance......Page 180
Chapter 10 Pairing Things Down with Multiple Comparisons......Page 196
Chapter 11 Getting a Little Interactionwith Two-Way ANOVA......Page 204
Chapter 12 Rock My World: Relating Regression to ANOVA......Page 214
Part IV Building Strong Connections with Chi-Square Tests......Page 226
Chapter 13 Forming Associations with Two-Way Tables......Page 228
Chapter 14 Being Independent Enough for the Chi-Square Test......Page 248
Chapter 15 Using Chi-Square Tests for Goodness-of-Fit (Your Data,Not Your Jeans)......Page 268
Part V Rebels without a Distribution......Page 278
Chapter 16 Going Nonparametric......Page 280
Chapter 17 The Sign Test and Signed Rank Test......Page 290
Chapter 18 Pulling Rank with the Rank Sum Test......Page 304
Chapter 19 Do the Kruskal-Wallis and Rank the Sums with Wilcox......Page 314
Chapter 20 Pointing Out Correlations with Spearman’s Rank......Page 326
Part VI The Part of Tens......Page 334
Chapter 21 Ten Errors in Statistical Conclusions......Page 336
Chapter 22 Ten Practice Problems......Page 346
Appendix Tables for Your Reference......Page 358
ndex......Page 370

✦ Subjects

Science;Mathematics;Nonfiction;Reference