Statistical Analysis with R For Dummies, 2nd Edition

Joseph Schmuller is a cognitive scientist and statistical analyst who creates online learning tools and books on data science. He is the author of R All-in One For Dummies, all five editions of Statistical Analysis with Excel For Dummies, Statistical Analysis with R For Dummies, and R Projects For Dummies, among others.

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