<p>Contents at a Glance<br/>Introduction .................................................................1<br/>Part I: Data Analysis and Model-Building Basics ............7<br/>Chapter 1: Beyond Number Crunching: The Art and Science of Data Analysis .........9<br/>Chapter 2: Sorting through Statistical Techniques ......................................................31<br/>Chapter 3: Building Confidence and Testing Models...................................................49<br/>Part II: Making Predictions by Using Regression...........67<br/>Chapter 4: Getting in Line with Simple Linear Regression..........................................69<br/>Chapter 5: When Two Variables Are Better than One: Multiple Regression.............87<br/>Chapter 6: One Step Forward and Two Steps Back: Regression Model<br/>Selection.......................................................................................................................107<br/>Chapter 7: When Data Throws You a Curve: Using Nonlinear Regression .............129<br/>Chapter 8: Yes, No, Maybe So: Making Predictions By Using Logistic<br/>Regression.....................................................................................................................149<br/>Part III: Comparing Many Means with ANOVA............159<br/>Chapter 9: Going One-Way with Analysis of Variance................................................161<br/>Chapter 10: Pairing Things Down with Multiple Comparisons ................................177<br/>Chapter 11: Getting a Little Interaction with Two-Way ANOVA................................185<br/>Chapter 12: Rock My World: Relating Regression to ANOVA....................................195<br/>Part IV: Building Strong Connections with<br/>Chi-Square Tests.......................................................207<br/>Chapter 13: Forming Associations with Two-Way Tables .........................................209<br/>Chapter 14: Being Independent Enough for the Chi-Square Test.............................229<br/>Chapter 15: Using Chi-Square Tests for Goodness-of-Fit (Your Data,<br/>Not Your Jeans) ............................................................................................................249<br/>Part V: Rebels without a Distribution .........................259<br/>Chapter 16: Going Nonparametric ...............................................................................261<br/>Chapter 17: The Sign Test and Signed Rank Test .......................................................271<br/>Chapter 18: Pulling Rank with the Rank Sum Test .....................................................285<br/>Chapter 19: Do the Kruskal-Wallis and Rank the Sums with Wilcox ........................295<br/>Chapter 20: Pointing Out Correlations with Spearman’s Rank.................................307<br/>Part VI: The Part of Tens ...........................................315<br/>Chapter 21: Ten Errors in Statistical Conclusions......................................................317<br/>Chapter 22: Ten Practice Problems..............................................................................327<br/>Appendix: Tables for Your Reference ..........................................................................339<br/>Index .......................................................................351</p><p></p><p></p><p> </p><p></p>