- 8,99 €
Description de l’éditeur
A New York Times bestseller
"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.
Wheelan (Naked Economics) offers a helping hand and a humorous perspective to everyone who's ever felt confused, lied to, or just plain lost when it comes to statistics, those handy data sets used to determine everything from batting averages and trends on Wall Street to the quality of a school and which door you should pick if you're playing Let's Make a Deal. The author shows how statistics like the mean and the median are used to summarize and find patterns in large collections of data, and in later chapters he consider how statistics are used to assess large-scale economic risk and to find important connections between different sets of data, like those that allow Netflix to offer reasonable movie recommendations. Throughout, Wheelan stresses how statistics "rarely a single right' " answer; indeed, when deployed carelessly or deliberately misused, they can sometimes obscure the truth. Furthermore, the author reminds readers that while data can be used to help make better decisions, "even the most precise measurements or calculations should be checked against common sense." Wheelan's relatively mathless real world examples (he sequesters equations in appendixes) and wry style heavily seasoned with pop culture references make for a fun and illuminating read.