- Subjects
- Published
-
Boston :
Addison-Wesley
c2010.
- Language
- English
- Main Author
- Physical Description
- xii, 212 p. : ill. ; 24 cm
- Bibliography
- Includes bibliographical references (p. 209-210) and index.
- ISBN
- 9780321629302
- Introduction
- 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 dat'a 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 intervals
- 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. The probability of a dry toothbrush: What is a p-value anyway?
- 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, some of which are totally trivial, but all of 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: 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 girl, 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
- Credits and References
- Index