Subject(s) 
Mathematical statistics

Physical Description 
xii, 212 p. : ill. ; 24 cm 
Note 
Includes bibliographical references (p. 209210) and index 
Contents 
[Part 1.] Introduction  1. I tell a friend that my job is more fun that you'd think: what is statistics?  [Part 2.] 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  [Part 3.] Data distributions  7. Chutesandladders 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?  [Part 4.] 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 intervals  12. Statistical ties, and why you shouldn't wear one: more on confidence intervals  [Part 5.] Hypothesis testing  13. Choosing a route to cycle home: what pvalues do for us  14. The probability of a dry toothbrush: what is a pvalue anyway?  15. Michael Jordan won't accept the null hypothesis: how to interpret high pvalues  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  [Part 6.] 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  [Part 7.] Some common statistical errors, and what they teach us  22. One better than Tommy John: four statistical errors, some of which are totally trivial, but all of which matter a great deal  23. Weed control for pvalues: a single scientific question should be addressed by a single statistical test  24. How to shoot a TV episode: statistical analyses that don't provide meaningful numbers  25. Sam, 93 years old, 700 pound Florida supergranddad: 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 girl, girl rejects boy, boy starts multiple testing  29. Some things that have never happened to me: why you shouldn't compare pvalues  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 
