Naked Statistics: Stripping the Dread from the Data
January 14, 2014
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.
Naked Statistics: Stripping the Dread from the Data, by Charles Wheelan. New York : W.W. Norton & Company, 2013. 282 p. ISBN 9780393347777 (pbk.)
For more information on the availability of this title from the University of Toronto Libraries catalogue, click here.