Introduction 1 Part 1: Getting Started with Statistical Analysis with R. 7 Chapter 1: Data, Statistics, and Decisions 9 Chapter 2: R: What It Does and How It Does It 17 Part 2: Describing Data 47 Chapter 3: Getting Graphic 49 Chapter 4: Finding Your Center 79 Chapter 5: Deviating from the Average 91 Chapter 6: Meeting Standards and Standings 101 Chapter 7: Summarizing It All 113 Chapter 8: What's Normal? 133 Part 3: Drawing Conclusions from Data 153 Chapter 9: The Confidence Game: Estimation 155 Chapter 10: One-Sample Hypothesis Testing 171 Chapter 11: Two-Sample Hypothesis Testing 197 Chapter 12: Testing More than Two Samples 223 Chapter 13: More Complicated Testing 249 Chapter 14: Regression: Linear, Multiple, and the General Linear Model 273 Chapter 15: Correlation: The Rise and Fall of Relationships 311 Chapter 16: Curvilinear Regression: When Relationships Get Complicated 333 Part 4: Working with Probability 357 Chapter 17: Introducing Probability 359 Chapter 18: Introducing Modeling 381 Chapter 19: Probability Meets Regression: Logistic Regression 403 Part 5: The Part of Tens 413 Chapter 20: Ten Tips for Excel Émigrés 415 Chapter 21: Ten Valuable Online R Resources 429 Index 433.