- Paperback: 304 pages
- Publisher: W. W. Norton & Company; 1 edition (January 13, 2014)
- Language: English
- ISBN-10: 039334777X
- ISBN-13: 978-0393347777
- Product Dimensions: 5.6 x 0.8 x 8.3 inches
- Shipping Weight: 10.4 ounces (View shipping rates and policies)
- Average Customer Review: 4.5 out of 5 stars See all reviews (387 customer reviews)
- Amazon Best Sellers Rank: #7,519 in Books (See Top 100 in Books)
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Naked Statistics: Stripping the Dread from the Data 1st Edition
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“While a great measure of the book’s appeal comes from Mr. Wheelan’s fluent style―a natural comedian, he is truly the Dave Barry of the coin toss set―the rest comes from his multiple real world examples illustrating exactly why even the most reluctant mathophobe is well advised to achieve a personal understanding of the statistical underpinnings of life.” (New York Times)
“The best math teacher you never had. [Naked Statistics] is filled with practical lessons, like how to judge the validity of polls, why you should never buy a lottery ticket, and how to keep an eye out for red flags in public statements.” (San Francisco Chronicle)
“Naked Statistics is an apt title. Charles Wheelan strips away the superfluous outer garments and exposes the underlying beauty of the subject in a way that everyone can appreciate.” (Hal Varian, chief economist at Google)
“I cannot stress enough the importance of Americans’ need to understand statistics―the basis for a great deal of what we hear and read these days―and I cannot stress enough the value of Wheelan’s book in giving readers an approachable avenue to understanding statistics. Almost anyone interested in sports, politics, business, and the myriad of other areas in which statistics rule the roost today will benefit from this highly readable, on-target, and important book.” (Frank Newport, Gallup editor-in-chief)
“A fun, engaging book that shows why statistics is a vital tool for anyone who wants to understand the modern world.” (Jacob J. Goldstein, "Planet Money" on NPR)
“Two phrases you don’t often see together: ‘statistics primer’ and ‘rollicking good time.’ Until Charlie Wheelan got to it, that is. This book explains the way statistical ideas can help you understand much of everyday life.” (Austan Goolsbee, professor of economics at the University of Chicago and former chairman of the Council of Economic Advisers)
About the Author
Charles Wheelan is the author of the best-selling Naked Statistics and Naked Economics and is a former correspondent for The Economist. He teaches public policy and economics at Dartmouth College and lives in Hanover, New Hampshire, with his family.
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Top Customer Reviews
The book is written from a perspective that the audience hates statistics and has never wanted to look into it at all. Wheelan does a great job in addressing that, and he tries to make the process less painful. His examples are off the wall and make reading the book entertaining.
This book doesn’t really teach you statistics, but tries to peak your curiosity, so you do continue on your learning journey. He doesn’t go into all of the pesky details of why the math works, but he does have appendixes and sources of where he gathers all of his sources for each section of statistics he goes over.
I really liked how Wheelan explained how different groups can mess with data depending on how it is interpreted or how people can skew the methodology to produce certain results. He has a great explanation of how people lie with statistics or distort confidence in results.
I was very surprised to have found the book as interesting as I did. Math was probably my least favorite subject in school and, in general, I find the entire subject a bit boring. However, this book really made me interested in how statistics play a role in our everyday lives. I highly recommend it to absolutely everyone. You don't need to be taking a class or work with statistics to find this book interesting.
I liked his explanation of concepts enough that I purchased his book "Naked Economics" despite my extensive study of the topic in anticipation that I will find some nuggets of explanation that I can use.
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