-
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 provid
