Naked Statistics Stripping the Dread from the Data

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.

Naked Statistics  Stripping the Dread from the Data

Naked Statistics Stripping the Dread from the Data

“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.

More Books:

Naked Statistics: Stripping the Dread from the Data
Language: en
Pages: 302
Authors: Charles Wheelan
Categories: Mathematics
Type: BOOK - Published: 2013-01-07 - Publisher: W. W. Norton & Company

“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
Problem Solving for New Engineers
Language: en
Pages: 262
Authors: Melisa Buie
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Type: BOOK - Published: 2017-07-20 - Publisher: CRC Press

This book brings a fresh new approach to practical problem solving in engineering, covering the critical concepts and ideas that engineers must understand to solve engineering problems. Problem Solving for New Engineers: What Every Engineering Manager Wants You to Know provides strategy and tools needed for new engineers and scientists
Data Analysis for the Social Sciences
Language: en
Pages: 664
Authors: Douglas Bors
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Type: BOOK - Published: 2018-01-08 - Publisher: SAGE

Packed with global, interdisciplinary examples that ground statistical theory and concepts in real-world situations, it shows students not only how to apply newfound knowledge using IBM SPSS Statistics, but also why they would want to - all supported by lots of visuals, interactive demonstrations, author videos, and practice datasets.
Machine Learning
Language: en
Pages: 408
Authors: Jason Bell
Categories: Mathematics
Type: BOOK - Published: 2014-11-03 - Publisher: John Wiley & Sons

Dig deep into the data with a hands-on guide to machine learning Machine Learning: Hands-On for Developers and Technical Professionals provides hands-on instruction and fully-coded working examples for the most common machine learning techniques used by developers and technical professionals. The book contains a breakdown of each ML variant, explaining
Statistics and Probability
Language: en
Pages: 64
Authors: Britannica Educational Publishing
Categories: Juvenile Nonfiction
Type: BOOK - Published: 2015-01-01 - Publisher: Britannica Educational Publishing

This book offers a broad collection of the principles of statistics and probability in a nice, compact format for the middle school and early high school student. Interesting text and background bring the principles to life. The topics are often enriched by references to famous mathematicians who discovered these principles

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