Statistics II For Dummies

Introduction 1 Part 1: Tackling Data Analysis and Model-Building Basics 7 Chapter 1: Beyond Number Crunching: The Art and Science of Data Analysis 9 Chapter 2: Finding the Right Analysis for the Job 21 Chapter 3: Having the Normal and Sampling Distributions in Your Back Pocket 37 Chapter 4: Reviewing Confidence Intervals and Hypothesis Tests 49 Part 2: Using Different Types of Regression to Make Predictions 65 Chapter 5: Getting in Line with Simple Linear Regression 67 Chapter 6: Multiple Regression with Two X Variables 95 Chapter 7: How Can I Miss You If You Won't Leave? Regression Model Selection 117 Chapter 8: Getting Ahead of the Learning Curve with Nonlinear Regression 129 Chapter 9: Yes, No, Maybe So: Making Predictions by Using Logistic Regression 153 Part 3: Analyzing Variance with ANOVA 167 Chapter 10: Testing Lots of Means? Come On Over to ANOVA! 169 Chapter 11: Sorting Out the Means with Multiple Comparisons 189 Chapter 12: Finding Your Way through Two-Way ANOVA 205 Chapter 13: Regression and ANOVA: Surprise Relatives! 221 Part 4: Building Strong Connections with Chi-Square Tests and Nonparametrics 233 Chapter 14: Forming Associations with Two-Way Tables 235 Chapter 15: Being Independent Enough for the Chi-Square Test 257 Chapter 16: Using Chi-Square Tests for Goodness-of-Fit (Your Data, Not Your Jeans) 279 Chapter 17: Rebels Without a Distribution -- Nonparametric Procedures 291 Chapter 18: All Signs Point to the Sign Test 299 Part 5: Putting it All Together: Multi-Stage Analysis of a Large Data Set 309 Chapter 19: Conducting a Multi-Stage Analysis of a Large Data Set 311 Chapter 20: A Statistician Watches the Movies 325 Chapter 21: Looking Inside the Refrigerator 347 Part 6: The Part of Tens 361 Chapter 22: Ten Common Errors in Statistical Conclusions 363 Chapter 23: Ten Ways to Get Ahead by Knowing Statistics 375 Chapter 24: Ten Cool Jobs That Use Statistics 385 Appendix A: Reference Tables 395 Index 409

Deborah J. Rumsey, PhD, is a Statistics Education Specialist and Associated Professor in the Department of Statistics at The Ohio State University. She is also a Fellow of the American Statistical Association and has received the Presidential Teaching Award from Kansas State University. Dr. Rumsey has published numerous papers and given many professional presentations on the subject of statistics education.