Statistical Analysis with R For Dummies

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