Naked Statistics  Stripping the Dread from the Data Book
Score: 4
From 12 Ratings

Naked Statistics Stripping the Dread from the Data


  • Author : Charles Wheelan
  • Publisher : W. W. Norton & Company
  • Release Date : 2013-01-07
  • Genre: Mathematics
  • Pages : 302
  • ISBN 10 : 9780393089820

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Naked Statistics Stripping the Dread from the Data Excerpt :

“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.

Naked Statistics Book
Score: 4
From 9 Ratings

Naked Statistics


  • Author : Charles Wheelan
  • Publisher : National Geographic Books
  • Release Date : 2014-01-14
  • Genre: Mathematics
  • Pages : 0
  • ISBN 10 : 9780393347777

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Naked Statistics Excerpt :

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.

Naked Statistics  Stripping the Dread from the Data Book
Score: 4
From 10 Ratings

Naked Statistics Stripping the Dread from the Data


  • Author : Charles Wheelan
  • Publisher : W. W. Norton & Company
  • Release Date : 2013-01-07
  • Genre: Business & Economics
  • Pages : 305
  • ISBN 10 : 9780393071955

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Naked Statistics Stripping the Dread from the Data Excerpt :

Demystifies the study of statistics by stripping away the technical details to examine the underlying intuition essential for understanding statistical concepts.

Naked Economics  Undressing the Dismal Science  Fully Revised and Updated  Book
Score: 4
From 1 Ratings

Naked Economics Undressing the Dismal Science Fully Revised and Updated


  • Author : Charles Wheelan
  • Publisher : W. W. Norton & Company
  • Release Date : 2010-04-19
  • Genre: Business & Economics
  • Pages : 385
  • ISBN 10 : 9780393337648

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Naked Economics Undressing the Dismal Science Fully Revised and Updated Excerpt :

Seeks to provide an engaging and comprehensive primer to economics that explains key concepts without technical jargon and using common-sense examples.

Naked Statistics Book
Score: 4
From 9 Ratings

Naked Statistics


  • Author : Charles Wheelan
  • Publisher : National Geographic Books
  • Release Date : 2014-01-14
  • Genre: Mathematics
  • Pages : 0
  • ISBN 10 : 9780393347777

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Naked Statistics Excerpt :

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.

Naked Money Book
Score: 4.5
From 5 Ratings

Naked Money


  • Author : Charles Wheelan
  • Publisher : National Geographic Books
  • Release Date : 2017-04-11
  • Genre: Business & Economics
  • Pages : 0
  • ISBN 10 : 9780393353730

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Naked Money Excerpt :

Charles Wheelan’s wonderfully whimsical, best-selling Naked series tackles the weird, surprisingly colorful world of money and banking. Consider the $20 bill. It has no more value, as a simple slip of paper, than Monopoly money. Yet even children recognize that tearing one into small pieces is an act of inconceivable stupidity. What makes a $20 bill actually worth twenty dollars? In the third volume of his best-selling Naked series, Charles Wheelan uses this seemingly simple question to open the door to the surprisingly colorful world of money and banking. The search for an answer triggers countless other questions along the way: Why does paper money (“fiat currency” if you want to be fancy) even exist? And why do some nations, like Zimbabwe in the 1990s, print so much of it that it becomes more valuable as toilet paper than as currency? How do central banks use the power of money creation to stop financial crises? Why does most of Europe share a common currency, and why has that arrangement caused so much trouble? And will payment apps, bitcoin, or other new technologies render all of this moot? In Naked Money, Wheelan tackles all of the above and more, showing us how our banking and monetary systems should work in ideal situations and revealing the havoc and suffering caused in real situations by inflation, deflation, illiquidity, and other monetary effects. Throughout, Wheelan’s uniquely bright-eyed, whimsical style brings levity and clarity to a subject often devoid of both. With illuminating stories from Argentina, Zimbabwe, North Korea, America, China, and elsewhere around the globe, Wheelan demystifies the curious world behind the paper in our wallets and the digits in our bank accounts.

Practical Statistics for Data Scientists Book
Score: 3
From 1 Ratings

Practical Statistics for Data Scientists


  • Author : Peter Bruce
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2017-05-10
  • Genre: Computers
  • Pages : 395
  • ISBN 10 : 9781491952917

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Practical Statistics for Data Scientists Excerpt :

Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data

Head First Statistics Book
Score: 4
From 1 Ratings

Head First Statistics


  • Author : Dawn Griffiths
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2008-08-26
  • Genre: Mathematics
  • Pages : 721
  • ISBN 10 : 9780596800864

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Head First Statistics Excerpt :

A comprehensive introduction to statistics that teaches the fundamentals with real-life scenarios, and covers histograms, quartiles, probability, Bayes' theorem, predictions, approximations, random samples, and related topics.

The Signal and the Noise Book
Score: 4
From 41 Ratings

The Signal and the Noise


  • Author : Nate Silver
  • Publisher : Penguin
  • Release Date : 2012-09-27
  • Genre: Political Science
  • Pages : 544
  • ISBN 10 : 9781101595954

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The Signal and the Noise Excerpt :

UPDATED FOR 2020 WITH A NEW PREFACE BY NATE SILVER "One of the more momentous books of the decade." —The New York Times Book Review Nate Silver built an innovative system for predicting baseball performance, predicted the 2008 election within a hair’s breadth, and became a national sensation as a blogger—all by the time he was thirty. He solidified his standing as the nation's foremost political forecaster with his near perfect prediction of the 2012 election. Silver is the founder and editor in chief of the website FiveThirtyEight. Drawing on his own groundbreaking work, Silver examines the world of prediction, investigating how we can distinguish a true signal from a universe of noisy data. Most predictions fail, often at great cost to society, because most of us have a poor understanding of probability and uncertainty. Both experts and laypeople mistake more confident predictions for more accurate ones. But overconfidence is often the reason for failure. If our appreciation of uncertainty improves, our predictions can get better too. This is the “prediction paradox”: The more humility we have about our ability to make predictions, the more successful we can be in planning for the future. In keeping with his own aim to seek truth from data, Silver visits the most successful forecasters in a range of areas, from hurricanes to baseball to global pandemics, from the poker table to the stock market, from Capitol Hill to the NBA. He explains and evaluates how these forecasters think and what bonds they share. What lies behind their success? Are they good—or just lucky? What patterns have they unraveled? And are their forecasts really right? He explores unanticipated commonalities and exposes unexpected juxtapositions. And sometimes, it is not so much how good a prediction is in an absolute sense that matters but how good it is relative to the competition. In other cases, prediction is still a very rudimentary—and dangerous—science. Silver observes that

How to Lie with Statistics Book
Score: 4
From 30 Ratings

How to Lie with Statistics


  • Author : Darrell Huff
  • Publisher : W. W. Norton & Company
  • Release Date : 2010-12-07
  • Genre: Mathematics
  • Pages : 144
  • ISBN 10 : 9780393070873

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How to Lie with Statistics Excerpt :

If you want to outsmart a crook, learn his tricks—Darrell Huff explains exactly how in the classic How to Lie with Statistics. From distorted graphs and biased samples to misleading averages, there are countless statistical dodges that lend cover to anyone with an ax to grind or a product to sell. With abundant examples and illustrations, Darrell Huff’s lively and engaging primer clarifies the basic principles of statistics and explains how they’re used to present information in honest and not-so-honest ways. Now even more indispensable in our data-driven world than it was when first published, How to Lie with Statistics is the book that generations of readers have relied on to keep from being fooled.

Doing Data Science Book
Score: 4
From 1 Ratings

Doing Data Science


  • Author : Cathy O'Neil
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2013-10-09
  • Genre: Computers
  • Pages : 408
  • ISBN 10 : 9781449363895

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Doing Data Science Excerpt :

Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know. In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you’re familiar with linear algebra, probability, and statistics, and have programming experience, this book is an ideal introduction to data science. Topics include: Statistical inference, exploratory data analysis, and the data science process Algorithms Spam filters, Naive Bayes, and data wrangling Logistic regression Financial modeling Recommendation engines and causality Data visualization Social networks and data journalism Data engineering, MapReduce, Pregel, and Hadoop Doing Data Science is collaboration between course instructor Rachel Schutt, Senior VP of Data Science at News Corp, and data science consultant Cathy O’Neil, a senior data scientist at Johnson Research Labs, who attended and blogged about the course.

Statistics Done Wrong Book
Score: 5
From 1 Ratings

Statistics Done Wrong


  • Author : Alex Reinhart
  • Publisher : No Starch Press
  • Release Date : 2015-03-01
  • Genre: Mathematics
  • Pages : 177
  • ISBN 10 : 9781593276201

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Statistics Done Wrong Excerpt :

Scientific progress depends on good research, and good research needs good statistics. But statistical analysis is tricky to get right, even for the best and brightest of us. You'd be surprised how many scientists are doing it wrong. Statistics Done Wrong is a pithy, essential guide to statistical blunders in modern science that will show you how to keep your research blunder-free. You'll examine embarrassing errors and omissions in recent research, learn about the misconceptions and scientific politics that allow these mistakes to happen, and begin your quest to reform the way you and your peers do statistics. You'll find advice on: –Asking the right question, designing the right experiment, choosing the right statistical analysis, and sticking to the plan –How to think about p values, significance, insignificance, confidence intervals, and regression –Choosing the right sample size and avoiding false positives –Reporting your analysis and publishing your data and source code –Procedures to follow, precautions to take, and analytical software that can help Scientists: Read this concise, powerful guide to help you produce statistically sound research. Statisticians: Give this book to everyone you know. The first step toward statistics done right is Statistics Done Wrong.

Chances Are Book

Chances Are


  • Author : Steve Slavin
  • Publisher : Madison Books
  • Release Date : 1998-06-18
  • Genre: Mathematics
  • Pages : 224
  • ISBN 10 : 9781461622932

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Chances Are Excerpt :

Chances Are is the first book to make statistics accessible to everyone, regardless of how much math you remember from school.

We Came  We Saw  We Left  A Family Gap Year Book
Score: 4.5
From 2 Ratings

We Came We Saw We Left A Family Gap Year


  • Author : Charles Wheelan
  • Publisher : W. W. Norton & Company
  • Release Date : 2021-01-26
  • Genre: Biography & Autobiography
  • Pages : 304
  • ISBN 10 : 9780393633962

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We Came We Saw We Left A Family Gap Year Excerpt :

Charlie Wheelan and his family do what others dream of: They take a year off to travel the world. This is their story. What would happen if you quit your life for a year? In a pre–COVID-19 world, the Wheelan family decided to find out; leaving behind work, school, and even the family dogs to travel the world on a modest budget. Equal parts "how-to" and "how-not-to"—and with an eye toward a world emerging from a pandemic—We Came, We Saw, We Left is the insightful and often hilarious account of one family’s gap-year experiment. Wheelan paints a picture of adventure and connectivity, juggling themes of local politics, global economics, and family dynamics while exploring answers to questions like: How do you sneak out of a Peruvian town that has been barricaded by the local army? And where can you get treatment for a flesh-eating bacteria your daughter picked up two continents ago? From Colombia to Cambodia, We Came, We Saw, We Left chronicles nine months across six continents with three teenagers. What could go wrong?

The Art of Statistics Book

The Art of Statistics


  • Author : David Spiegelhalter
  • Publisher : Hachette UK
  • Release Date : 2019-09-03
  • Genre: Mathematics
  • Pages : 448
  • ISBN 10 : 9781541618527

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The Art of Statistics Excerpt :

In this "important and comprehensive" guide to statistical thinking (New Yorker), discover how data literacy is changing the world and gives you a better understanding of life’s biggest problems. Statistics are everywhere, as integral to science as they are to business, and in the popular media hundreds of times a day. In this age of big data, a basic grasp of statistical literacy is more important than ever if we want to separate the fact from the fiction, the ostentatious embellishments from the raw evidence -- and even more so if we hope to participate in the future, rather than being simple bystanders. In The Art of Statistics, world-renowned statistician David Spiegelhalter shows readers how to derive knowledge from raw data by focusing on the concepts and connections behind the math. Drawing on real world examples to introduce complex issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether a notorious serial killer could have been caught earlier, and if screening for ovarian cancer is beneficial. The Art of Statistics not only shows us how mathematicians have used statistical science to solve these problems -- it teaches us how we too can think like statisticians. We learn how to clarify our questions, assumptions, and expectations when approaching a problem, and -- perhaps even more importantly -- we learn how to responsibly interpret the answers we receive. Combining the incomparable insight of an expert with the playful enthusiasm of an aficionado, The Art of Statistics is the definitive guide to stats that every modern person needs.