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The Joy of Statistics: A Treasury of Elementary Statistical Tools and their Applications

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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.

This book 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 black/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."

Author: Selvin Steve
Publisher: OXFORD UNIVERSITY PRESS
Pages: 224
ISBN: 9780198833444
Cover: Hardback
Edition Number: 1
Release Year: 2019

1: Probabilities — rules and review

2: Distributions of data — four plots
3: Mean value — estimation and a few properties
4: Boxplots — construction and interpretation
5: The lady who tasted tea — a bit of statistical history
6: Outlier/extreme values — a difficult decision
7: The role of summary statistics — brief description
8: Correlation and association — interpretation
9: Proportional reduction in error — a measure of association
10: Quick Tests — four examples
11: Confounding — African-American and white infant mortality
12: Odds — a sometimes measure of likelihood
13: Odds ratio — a measure of risk?
14: Odds ratio — two properties rarely mentioned
15: Percent increase — ratios?
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
20: Draft lottery numbers (1970)
21: Lotto — How to get in .... How to win
22: Fatal coronary disease — risk
23: Pictures
24: The Monty Hall problem
25: Eye-witness evidence — Collins versus state of California
26: Probabilities and puzzles
27: Jokes and quotes
28: A true life puzzle
29: Rates — definition and estimation
30: Geometry of an approximate average rate
31: Simpson>'s paradox — two examples and a bit more
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
37: Data — too good to be true?
38: A binary variable — twin pairs
39: Mr. Rich and Mr. Poor — a give and take equilibrium
40: Log-normal distribution — leukemia and pesticide exposure
41: Poem — A Contribution to Statistics

APP: appendix: golden mean, Pythagorean theorem, chord theorem, pi

Steve Selvin, Professor of Biostatistics and Epidemiology, Department of Biostatistics, University of California, Berkeley

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