"A delightful exposition of commonly-encountered statistical fallacies and paradoxes and why they matter." —Samuel H. Preston, coauthor of Demography: Measuring and Modeling Population Processes An essential guide to the ways data can improve decision making. Statistics are everywhere: in news reports, at the doctor's office, and in every sort of forecast, from the stock market to the weather. Allen B. Downey knows well that people have an innate ability both to understand statistics and to be fooled by them. As he makes clear in this accessible introduction to statistical thinking, the stakes are big. Simple misunderstandings have led to incorrect medical prognoses, underestimated the likelihood of earthquakes, hindered social justice efforts, and resulted in dubious policy decisions. There are right and wrong ways to look at numbers, and Downey will help you see which are which. Probably Overthinking It uses real data to delve into real examples, drawing on cases from health campaigns, political movements, and more, shining a light on what we learn when we interpret data correctly, and what goes wrong when we don't. Even if you have never studied statistics—or if you have and forgot everything you learned—this book will offer new insight into the methods and measurements that help us understand the world. "Downey's pure love for the subject shines through abundantly, as does his social conscience and belief in the importance of statistical methods to illuminate the greatest, most challenging issues of our time." —Aubrey Clayton, author of Bernoulli's Fallacy: Statistical …
Description via Google Books
No reviews yet — be the first to write one from the Log screen.
No quotes yet.
Nothing similar catalogued yet.