Introduction 0. How to read this book 1. I tell a friend that my job is more fun than you'd think: What is statistics? Describing data 2. So Bill Gates walks into a diner: on means and medians 3. Bill Gates goes back to the diner: standard deviation and interquartile range 4. A skewed shot, a biased referee 5. You can't have 2.6 children: on different types of data 6. Why your high school math teacher was right: how to draw a graph Data distributions 7. Chutes-and-ladders and serum hemoglobin levels: thoughts on the normal distribution 8. If the normal distribution is so normal, how come my data never are? 9. But I like that sweater: what amount of fit is a good enough fit? Variation of study results: confidence intervals 10. Long hair: a standard error of the older male 11. How to avoid a rainy wedding: variation and confidence 12. Statistical ties, and why you shouldn't wear one: more on confidence intervals Hypothesis testing 13. Choosing a route to cycle home: what p-values do for us 14. A statistical theory of how to get a five-year old boy to brush his teeth: defining the p-value 15. Michael Jordan won't accept the null hypothesis: how to interpret high p-values 16. The difference between sports and business: thoughts on the t test and the Wilcoxon test 17. Meeting up with friends: on sample size, precision and statistical power Regression and decision making 18. When to visit Chicago: about linear and logistic regression 19. My assistant turns up for work with shorter hair: about regression and confounding 20. I ignore my child's cough, my wife panics: about specificity and sensitivity 21. Avoid the sales: statistics to help make decisions Some common statistical errors, and what they teach us 22. One better than Tommy John: four statistical errors that are totally trivial, but which matter a great deal 23. Weed control for p-values: a single scientific question should be addressed by a single statistical test 24. How to shoot a TV episode: avoiding statistical analyses that don't provide meaningful numbers 25. Sam, 93 years old, 700 pound Florida super-granddad: two common errors in regression 26. Regression to the Mike: a statistical explanation of why an eligible friend of mine is still single 27. OJ Simpson, Sally Clark, George and me: about conditional probability 28. Boy meets girls, girl rejects boy, boy starts multiple testing 29. Some things that have never happened to me: why you shouldn't compare p-values 30. How to win the marathon: avoiding errors when measuring things that happen over time 31. The difference between bad statistics and a bacon sandwich: are there rules in statistics? 32. Look at your garbage bin: it may be the only thing you need to know about statistics 33. Numbers that mean something: linking math and science 34. Statistics is about people, even if you can't see the tears Discussion Section Answers
