
How to Lie with Statistics
by Darrell Huff (1954)
Like 'Naked Statistics', this book demystifies statistical manipulation with accessible and humorous examples.

by Charles Wheelan (2012)
"Brilliant, funny…the best math teacher you never had." —San Francisco Chronicle Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist at Google, has actually called "sexy." From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more. For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions. And in Wheelan’s trademark style, there’s not a dull page in sight. You’ll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let’s Make a Deal—and you’ll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life.
Get this book:

by Darrell Huff (1954)
Like 'Naked Statistics', this book demystifies statistical manipulation with accessible and humorous examples.
by Nate Silver (2012)
Similar to 'Naked Statistics', it explores the complexities of prediction and data interpretation in a clear manner.

by David Spiegelhalter (2019)
Echoing 'Naked Statistics', this book provides essential insights into understanding and learning from data.

by Jordan Ellenberg (2017)
Like 'Naked Statistics', it compellingly demonstrates the practical power of mathematical and statistical thinking.

by Kaiser Fung (2010)
This book, much like 'Naked Statistics', uncovers the pervasive and often hidden influence of statistics in daily life.
Tell us what you love and get AI-powered recommendations tailored to your taste.
Get Personalized RecommendationsPowered by MyNextBook — AI-powered book discovery