The Joy Of Statistics A Treasury Of Elementary Statistical Tools And Their Applications 1st edition by Steve Selvin 0192570383 9780192570383

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ISBN-10 :  0192570383 

ISBN-13 : 9780192570383

Author:  Steve Selvin 

The vast majority of statistics books delineate techniques used to analyze collected data. The Joy of Statistics is not one of these books. It consists of a series of 42 “short stories”, each illustrating how statistical methods applied to data produce insight and solutions to the questions the data were collected to answer. Real-life and sometimes artificial data are used to demonstrate the often painless method and magic of statistics. In addition, the text contains brief histories of the evolution of statistical methods and a number of brief biographies of the most famous statisticians of the 20th century. Sprinkled throughout are statistical jokes, puzzles and traditional stories. The levels of statistical texts span a spectrum, from elementary to introductory to application to theoretical to advanced mathematical. The Joy of Statistics explores a variety of statistical applications using graphs and plots, along with detailed and intuitive descriptions, and occasionally a bit of 10th grade mathematics. Examples of a few of the topics included among these “short stories” are pet ownership, gambling games such as roulette, blackjack and lotteries, as well as more serious subjects such as comparison of African-American and white infant mortality risk, infant birth weight and maternal age, estimation of coronary heart disease risk and racial differences in Hodgkin disease. The statistical descriptions of these topics are in many cases accompanied by easy to understand explanations labelled “How It Works.”

The Joy Of Statistics: A Treasury Of Elementary Statistical Tools And Their Applications 1st Table of contents:

1. Probabilities—rules and review
Some specific cat and dog probabilities
Conditional probabilities
Independence
Statistics pays off
Roulette
Summation notation (Σ)
Types of variables
2. Distributions of data—four plots
Barplot
Histogram
Stem-leaf plot
Frequency polygon
3. Mean value—estimation and a few properties
Examples of sample variability
Law of averages
Law of large numbers
One last note
4. Boxplots—construction and interpretation
5. The lady who tasted tea—a bit of statistical history
A bit more about R. A. Fisher
A bit about R. A. Fisher’s colleague, statistician Karl Pearson
6. Outlier/extreme values—a difficult decision
7. The role of summary statistics—brief description
The estimation of a summary line from paired observations
8 Correlation and association—interpretation
A spurious correlation
Association
9. Proportional reduction in error—a measure of association
Proportional reduction in error—how it works
10. Quick tests—four examples
Tukey’s quick test
Correlation—a quick test version
Sign test—another quick test
Quick test—a two sample visual comparison
11. Confounding—African-American and white infant mortality
12. Odds—a sometimes measure of likelihood
Odds ratio
13. Odds ratio—a measure of risk?
The effects of race and sex on physicians’ recommendations for cardiac catherization
14. Odds ratio—two propertiesrarely mentioned
Variance of the odds ratio
15. Percent increase—ratios?
A letter to the editor
16. Diagnostic tests—assessing accuracy
17. Regression to the mean—father/son data
18. Life table—a summary of mortality experience
19. Coincidence—a statistical description
The birthday problem
20. Draft lottery numbers (1970)
21. Lotto—how to get in and how to win
22. Fatal coronary disease—risk
23. Pictures
24. The Monty Hall problem
Two possibilities to consider
25. Eye-witness evidence—Collins versus state of California
26. Probabilities and puzzles
James Fenimore Cooper—Leatherstocking Tales
27. Jokes and quotes
28. A true life puzzle
Headlines: right-handers outlive lefties by 9-year average
29. Rates—definition and estimation
30. Geometry of an approximate average rate
31. Simpson’s paradox—two examples and a bit more
Ecological fallacy
32. Smoothing—median values
33. Two by two table—a missing observation
34. Survey data—randomized response
35. Viral incidence estimation—a shortcut
36. Two-way table—a graphical analysis
A painless graphical analysis of a table
Mean/median polish—an analysis of association within tables
Median polish—another analysis of association in a table
37. Data—too good to be true?
38. A binary variable—twin pairs
Twins
39. Mr. Rich and Mr. Poor—a give and take equilibrium
40. Log-normal distribution—leukemia and pesticide exposure
41. A contribution to statistics

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Tags: The Joy, Statistics, Elementary Statistical, Their Applications, Steve Selvin