HOW TO LIE WITH STATISTICS FREE PDF

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How To Lie With Statistics

Author : Darrell Huff
ISBN : 0393070875
Genre : Mathematics
File Size : 58.91 MB
Format : PDF, Mobi
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Over Half a Million Copies Sold--an Honest-to-Goodness Bestseller Darrell Huff runs the gamut of every popularly used type of statistic, probes such things as the sample study, the tabulation method, the interview technique, or the way the results are derived from the figures, and points up the countless number of dodges which are used to full rather than to inform.
Category: Mathematics

How To Lie With Statistics

Author : Darrell Huff
ISBN : 9780393310726
Genre : Business & Economics
File Size : 48.65 MB
Format : PDF, Mobi
Download : 614
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Over Half a Million Copies Sold--an Honest-to-Goodness Bestseller Darrell Huff runs the gamut of every popularly used type of statistic, probes such things as the sample study, the tabulation method, the interview technique, or the way the results are derived from the figures, and points up the countless number of dodges which are used to full rather than to inform.
Category: Business & Economics

Weaponized Lies

Author : Daniel J. Levitin
ISBN : 9781524742225
Genre : Social Science
File Size : 58.11 MB
Format : PDF
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Previously Published as A Field Guide to Lies We’re surrounded by fringe theories, fake news, and pseudo-facts. These lies are getting repeated. New York Times bestselling author Daniel Levitin shows how to disarm these socially devastating inventions and get the American mind back on track. Here are the fundamental lessons in critical thinking that we need to know and share now. Investigating numerical misinformation, Daniel Levitin shows how mishandled statistics and graphs can give a grossly distorted perspective and lead us to terrible decisions. Wordy arguments on the other hand can easily be persuasive as they drift away from the facts in an appealing yet misguided way. The steps we can take to better evaluate news, advertisements, and reports are clearly detailed. Ultimately, Levitin turns to what underlies our ability to determine if something is true or false: the scientific method. He grapples with the limits of what we can and cannot know. Case studies are offered to demonstrate the applications of logical thinking to quite varied settings, spanning courtroom testimony, medical decision making, magic, modern physics, and conspiracy theories. This urgently needed book enables us to avoid the extremes of passive gullibility and cynical rejection. As Levitin attests: Truth matters. A post-truth era is an era of willful irrationality, reversing all the great advances humankind has made. Euphemisms like “fringe theories,” “extreme views,” “alt truth,” and even “fake news” can literally be dangerous. Let's call lies what they are and catch those making them in the act.
Category: Social Science

Damned Lies And Statistics

Author : Joel Best
ISBN : 9780520953512
Genre : Social Science
File Size : 28.88 MB
Format : PDF, ePub
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Here, by popular demand, is the updated edition to Joel Best's classic guide to understanding how numbers can confuse us. In his new afterword, Best uses examples from recent policy debates to reflect on the challenges to improving statistical literacy. Since its publication ten years ago, Damned Lies and Statistics has emerged as the go-to handbook for spotting bad statistics and learning to think critically about these influential numbers.
Category: Social Science

How To Lie With Maps Third Edition

Author : Mark Monmonier
ISBN : 9780226436081
Genre : Technology & Engineering
File Size : 22.71 MB
Format : PDF, Docs
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An instant classic when first published in 1991, How to Lie with Maps revealed how the choices mapmakers make—consciously or unconsciously—mean that every map inevitably presents only one of many possible stories about the places it depicts. The principles Mark Monmonier outlined back then remain true today, despite significant technological changes in the making and use of maps. The introduction and spread of digital maps and mapping software, however, have added new wrinkles to the ever-evolving landscape of modern mapmaking. ​Fully updated for the digital age, this new edition of How to Lie with Maps examines the myriad ways that technology offers new opportunities for cartographic mischief, deception, and propaganda. While retaining the same brevity, range, and humor as its predecessors, this third edition includes significant updates throughout as well as new chapters on image maps, prohibitive cartography, and online maps. It also includes an expanded section of color images and an updated list of sources for further reading.
Category: Technology & Engineering

Statistics Done Wrong

Author : Alex Reinhart
ISBN : 9781593276201
Genre : Mathematics
File Size : 68.42 MB
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Statistics Done Wrong describes how researchers often go wrong and teaches you the best practices for avoiding their mistakes.
Category: Mathematics

An Introduction To Statistical Learning

Author : Gareth James
ISBN : 9781461471387
Genre : Mathematics
File Size : 35.63 MB
Format : PDF, ePub
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An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.
Category: Mathematics

Everybody Lies

Author : Seth Stephens-Davidowitz
ISBN : 9780062390875
Genre : Social Science
File Size : 45.52 MB
Format : PDF
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Foreword by Steven Pinker Blending the informed analysis of The Signal and the Noise with the instructive iconoclasm of Think Like a Freak, a fascinating, illuminating, and witty look at what the vast amounts of information now instantly available to us reveals about ourselves and our world—provided we ask the right questions. By the end of an average day in the early twenty-first century, human beings searching the internet will amass eight trillion gigabytes of data. This staggering amount of information—unprecedented in history—can tell us a great deal about who we are—the fears, desires, and behaviors that drive us, and the conscious and unconscious decisions we make. From the profound to the mundane, we can gain astonishing knowledge about the human psyche that less than twenty years ago, seemed unfathomable. Everybody Lies offers fascinating, surprising, and sometimes laugh-out-loud insights into everything from economics to ethics to sports to race to sex, gender and more, all drawn from the world of big data. What percentage of white voters didn’t vote for Barack Obama because he’s black? Does where you go to school effect how successful you are in life? Do parents secretly favor boy children over girls? Do violent films affect the crime rate? Can you beat the stock market? How regularly do we lie about our sex lives and who’s more self-conscious about sex, men or women? Investigating these questions and a host of others, Seth Stephens-Davidowitz offers revelations that can help us understand ourselves and our lives better. Drawing on studies and experiments on how we really live and think, he demonstrates in fascinating and often funny ways the extent to which all the world is indeed a lab. With conclusions ranging from strange-but-true to thought-provoking to disturbing, he explores the power of this digital truth serum and its deeper potential—revealing biases deeply embedded within us, information we can use to change our culture, and the questions we’re afraid to ask that might be essential to our health—both emotional and physical. All of us are touched by big data everyday, and its influence is multiplying. Everybody Lies challenges us to think differently about how we see it and the world.
Category: Social Science