- 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: 415 customer reviews
- Amazon Best Sellers Rank: #5,465 in Books (See Top 100 in Books)
Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required.
To get the free app, enter your mobile phone number.
Naked Statistics: Stripping the Dread from the Data 1st Edition
Use the Amazon App to scan ISBNs and compare prices.
Frequently bought together
Customers who bought this item also bought
“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.
Top customer reviews
Naked Statistics was published just four months after Nate Silver's best-selling book, The Signal and the Noise, which covers much the same ground in a very different way. Whelan focuses on the nitty-gritty of statistical methodology, delving into such topics as how samples are chosen, what's meant by terms such as correlation, standard deviation, and regression analysis, and how to determine whether the results of a test are statistically valid. However, he doesn't lose sight of practical questions, unpacking such seemingly puzzling statements as "the average income in America is not equal to the income of the average American" and spotlighting the difference between precision and accuracy. Silver instead explains how statistical methods are applied in a wide range of activities, from baseball and basketball to Wall Street. Whelan includes lots of formulas laden with Greek letters, though, conveniently, they're confined for the most part to Appendixes that follow many of the book's chapters and can be skipped by a non-technical reader. (I ignored them.) Silver's book is refreshingly devoid of Greek letters.
As Whelan makes clear, perhaps unintentionally, statistics is a forbiddingly technical field. Truth to tell, if you really want to understand statistical methodology and how it can be applied, you need a fair grounding in mathematics and a tolerance for terminology that doesn't appear in everyday English. In fact, you probably need to take the same sort of graduate school courses Whelan took years ago. This is heady stuff!
All in all, for a run-of-the-mill mathematical illiterate such as me, Nate Silver did a much better job getting across the significance of statistics and how its methods are applied to strip away the complexities of today's often baffling, data-driven world.
- He pivots without saying so; may revert back later. Without fully going over one example, he would introduce a new example.
- He sometimes does not know how to group or categorize information, with or without sub-headings. This results in meandering narrative in places.
The Appendix to Chapter 11 is rushed. The title is "The t-distribution" but it is as much about "Degrees of Freedom", neither concept explained properly. It needed two graphs, rather than one.
Finally I wish a gifted author like him would give rationale of why various statistical terms -- like 'Standard Error' -- were needed.
How low? Just a smudge.... maybe I'm just being a harsh grader here, but a *little* more math, maybe in a couple of appendices and it could have been an outstanding freshman book (and I say this with my apologies to Prof. Wheelan, maybe I *am* a harsh grader; he's a working teacher and I haven't taught in 20 years... )
On the other-other hand, if you AREN'T a student, but DO want to get a totally painless introduction to statistics, then this book is about as good as I've ever seen. In fact, it's not just totally painless, it's actually pleasurable (the examples in the book are often from real life and shed some real value outside of pure statistics).
Most recent customer reviews
Makes you aware of deceptive studies, polls, clinical trials based on faulty statistical process.Read more