| | Introduction: Why I hated calculus but love statistics | p. ix |
| | Acknowledgments | p. xvii |
| | What's the Point? | p. 1 |
| | Correlation: How does Netflix know what movies I like? | p. 58 |
| | 51/2 The Monty Hall Problem | p. 90 |
| | The Importance of Data: "Garbage in, garbage out" | p. 110 |
| | Appendix to Chapter 9 | p. 164 |
| | Appendix to Chapter 11 | p. 208 |
| | Descriptive Statistics: Who was the best baseball player of all time? | p. 15 |
| | Appendix to Chapter 2 | p. 34 |
| | Deceptive Description: "He's got a great personality!" and other true but grossly misleading statements | p. 36 |
| | Problems with Probability: How overconfident math geeks nearly destroyed the global financial system | p. 95 |
| | Appendix to Chapter 4 | p. 65 |
| | Basic Probability: Don't buy the extended warranty on your $99 printer | p. 68 |
| | The Central Limit Theorem: The Lebron James of statistics | p. 127 |
| | Inference: Why my statistics professor thought I might have cheated | p. 143 |
| | Polling: How we know that 64 percent of Americans support the death penalty (with a sampling error ± 3 percent) | p. 169 |
| | Appendix to Chapter 10 | p. 183 |
| | Regression Analysis: The miracle elixir | p. 185 |
| | Common Regression Mistakes: The mandatory warning label | p. 212 |
| | Program Evaluation: Will going to Harvard change your life? | p. 225 |
| | Conclusion: Five questions that statistics can help answer | p. 241 |
| | Appendix: Statistical software | p. 257 |
| | Notes | p. 261 |
| | Index | p. 269 |