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| naked statistics stripping the dread from the data: Naked Statistics: Stripping the Dread from the Data Charles Wheelan, 2013-01-07 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: Naked Statistics: Stripping the Dread from the Data Charles Wheelan, 2013-01-07 The bestselling author of Naked Economics defies the odds with a book aboutstatistics that readers will welcome and enjoy. |
| naked statistics stripping the dread from the data: Naked Statistics Charles Wheelan, 2014-01-14 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: Naked Money Charles Wheelan, 2017-04-11 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. |
| naked statistics stripping the dread from the data: The Art of Statistics David Spiegelhalter, 2019-09-03 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. |
| naked statistics stripping the dread from the data: Naked Statistics: Stripping the Dread from the Data Charles J. Wheelan, 2013 |
| naked statistics stripping the dread from the data: 10 1⁄2 Things No Commencement Speaker Has Ever Said Charles Wheelan, 2012-05 Refreshingly honest advice and observations on happiness, success, and the world lurking beyond the campus gates. |
| naked statistics stripping the dread from the data: The Rationing: A Novel Charles Wheelan, 2019-05-21 Political backstabbing, rank hypocrisy, and dastardly deception reign in this delightfully entertaining political satire, sure to lift one’s spirits far above the national stage. America is in trouble—at the mercy of a puzzling pathogen. That ordinarily wouldn’t lead to catastrophe, thanks to modern medicine, but there’s just one problem: the government supply of Dormigen, the silver bullet of pharmaceuticals, has been depleted just as demand begins to spike. Set in the near future, The Rationing centers around a White House struggling to quell the crisis—and control the narrative. Working together, just barely, are a savvy but preoccupied president; a Speaker more interested in jockeying for position—and a potential presidential bid—than attending to the minutiae of disease control; a patriotic majority leader unable to differentiate a virus from a bacterium; a strategist with brilliant analytical abilities but abominable people skills; and, improbably, our narrator, a low-level scientist with the National Institutes of Health who happens to be the world’s leading expert in lurking viruses. Little goes according to plan during the three weeks necessary to replenish the stocks of Dormigen. Some Americans will get the life-saving drug and others will not, and nations with their own supply soon offer aid—but for a price. China senses blood and a geopolitical victory, presenting a laundry list of demands that ranges from complete domination of the South China Sea to additional parking spaces at the UN, while India claims it can save the day for the U.S. |
| naked statistics stripping the dread from the data: The Data Detective Tim Harford, 2021-02-02 From “one of the great (greatest?) contemporary popular writers on economics” (Tyler Cowen) comes a smart, lively, and encouraging rethinking of how to use statistics. Today we think statistics are the enemy, numbers used to mislead and confuse us. That’s a mistake, Tim Harford says in The Data Detective. We shouldn’t be suspicious of statistics—we need to understand what they mean and how they can improve our lives: they are, at heart, human behavior seen through the prism of numbers and are often “the only way of grasping much of what is going on around us.” If we can toss aside our fears and learn to approach them clearly—understanding how our own preconceptions lead us astray—statistics can point to ways we can live better and work smarter. As “perhaps the best popular economics writer in the world” (New Statesman), Tim Harford is an expert at taking complicated ideas and untangling them for millions of readers. In The Data Detective, he uses new research in science and psychology to set out ten strategies for using statistics to erase our biases and replace them with new ideas that use virtues like patience, curiosity, and good sense to better understand ourselves and the world. As a result, The Data Detective is a big-idea book about statistics and human behavior that is fresh, unexpected, and insightful. |
| naked statistics stripping the dread from the data: Practical Statistics for Data Scientists Peter Bruce, Andrew Bruce, 2017-05-10 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 |
| naked statistics stripping the dread from the data: Naked Economics: Undressing the Dismal Science Charles Wheelan, 2003-09-17 Seeks to provide an engaging and comprehensive primer to economics that explains key concepts without technical jargon and using common-sense examples. |
| naked statistics stripping the dread from the data: How to Lie with Statistics Darrell Huff, 2010-12-07 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. |
| naked statistics stripping the dread from the data: My First Disney Classics Bedtime Storybook Disney Books, 2018-10-23 Read along with Disney! Bedtime stories are classic, even for the littlest dreamers. Follow along with word-for-word narration in this collection of favorite Disney stories that's perfect for those cuddly moments! |
| naked statistics stripping the dread from the data: The Centrist Manifesto Charles Wheelan, 2013-04-19 A vision—and detailed road map to power—for a new party that will champion America’s rational center. From debt ceiling standoffs to single-digit Congress approval ratings, America’s political system has never been more polarized—or paralyzed—than it is today. As best-selling author and public policy expert Charles Wheelan writes, now is the time for a pragmatic Centrist party that will identify and embrace the best Democratic and Republican ideals, moving us forward on the most urgent issues for our nation. Wheelan—who not only lectures on public policy but practices it as well (he ran unsuccessfully for Congress in 2009)—brings even more than his usual wit and clarity of vision to The Centrist Manifesto. He outlines a realistic ground game that could net at least five Centrist senators from New England, the Midwest, and elsewhere. With the power to deny a red or blue Senate majority, committed Centrists could take the first step toward giving voice and power to America’s largest, and most rational, voting bloc: the center. |
| naked statistics stripping the dread from the data: The Analysis of Biological Data Michael C. Whitlock, Dolph Schluter, 2019-11-22 The Analysis of Biological Data provides students with a practical foundation of statistics for biology students. Every chapter has several biological or medical examples of key concepts, and each example is prefaced by a substantial description of the biological setting. The emphasis on real and interesting examples carries into the problem sets where students have dozens of practice problems based on real data. The third edition features over 200 new examples and problems. These include new calculation practice problems, which guide the student step by step through the methods, and a greater number of examples and topics come from medical and human health research. Every chapter has been carefully edited for even greater clarity and ease of use. All the data sets, R scripts for all worked examples in the book, as well as many other teaching resources, are available to qualified instructors (see below). |
| naked statistics stripping the dread from the data: Statistics Done Wrong Alex Reinhart, 2015-03-01 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. |
| naked statistics stripping the dread from the data: Statistics 101 David Borman, 2018-12-18 A comprehensive guide to statistics—with information on collecting, measuring, analyzing, and presenting statistical data—continuing the popular 101 series. Data is everywhere. In the age of the internet and social media, we’re responsible for consuming, evaluating, and analyzing data on a daily basis. From understanding the percentage probability that it will rain later today, to evaluating your risk of a health problem, or the fluctuations in the stock market, statistics impact our lives in a variety of ways, and are vital to a variety of careers and fields of practice. Unfortunately, most statistics text books just make us want to take a snooze, but with Statistics 101, you’ll learn the basics of statistics in a way that is both easy-to-understand and apply. From learning the theory of probability and different kinds of distribution concepts, to identifying data patterns and graphing and presenting precise findings, this essential guide can help turn statistical math from scary and complicated, to easy and fun. Whether you are a student looking to supplement your learning, a worker hoping to better understand how statistics works for your job, or a lifelong learner looking to improve your grasp of the world, Statistics 101 has you covered. |
| naked statistics stripping the dread from the data: Statistics for People Who (Think They) Hate Statistics Neil J. Salkind, 2007 Now in its third edition, this title teaches an often intimidating and difficult subject in a way that is informative, personable, and clear. |
| naked statistics stripping the dread from the data: Data Science John D. Kelleher, Brendan Tierney, 2018-04-13 A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges. The goal of data science is to improve decision making through the analysis of data. Today data science determines the ads we see online, the books and movies that are recommended to us online, which emails are filtered into our spam folders, and even how much we pay for health insurance. This volume in the MIT Press Essential Knowledge series offers a concise introduction to the emerging field of data science, explaining its evolution, current uses, data infrastructure issues, and ethical challenges. It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets. It is closely related to the fields of data mining and machine learning, but broader in scope. This book offers a brief history of the field, introduces fundamental data concepts, and describes the stages in a data science project. It considers data infrastructure and the challenges posed by integrating data from multiple sources, introduces the basics of machine learning, and discusses how to link machine learning expertise with real-world problems. The book also reviews ethical and legal issues, developments in data regulation, and computational approaches to preserving privacy. Finally, it considers the future impact of data science and offers principles for success in data science projects. |
| naked statistics stripping the dread from the data: Statistics in Plain English Timothy C. Urdan, 2005 This book is meant to be a supplement to a more detailed statistics textbook, such as that recommended for a statistics course in the social sciences. Also, as a reference book to refresh your memory about statistical concepts. |
| naked statistics stripping the dread from the data: Head First Statistics Dawn Griffiths, 2008-08-26 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. |
| naked statistics stripping the dread from the data: Introduction to Probability Joseph K. Blitzstein, Jessica Hwang, 2014-07-24 Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, medicine, computer science, and information theory. The print book version includes a code that provides free access to an eBook version. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment. |
| naked statistics stripping the dread from the data: We Came, We Saw, We Left: A Family Gap Year Charles Wheelan, 2021-01-26 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? |
| naked statistics stripping the dread from the data: Cartoon Guide to Statistics Larry Gonick, 1993-07-14 If you have ever looked for P-values by shopping at P mart, tried to watch the Bernoulli Trails on People's Court, or think that the standard deviation is a criminal offense in six states, then you need The Cartoon Guide to Statistics to put you on the road to statistical literacy. The Cartoon Guide to Statistics covers all the central ideas of modern statistics: the summary and display of data, probability in gambling and medicine, random variables, Bernoulli Trails, the Central Limit Theorem, hypothesis testing, confidence interval estimation, and much more—all explained in simple, clear, and yes, funny illustrations. Never again will you order the Poisson Distribution in a French restaurant! |
| naked statistics stripping the dread from the data: Statistical Inference George Casella, Roger Berger, 2024-05-23 This classic textbook builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and natural extensions, and consequences, of previous concepts. It covers all topics from a standard inference course including: distributions, random variables, data reduction, point estimation, hypothesis testing, and interval estimation. Features The classic graduate-level textbook on statistical inference Develops elements of statistical theory from first principles of probability Written in a lucid style accessible to anyone with some background in calculus Covers all key topics of a standard course in inference Hundreds of examples throughout to aid understanding Each chapter includes an extensive set of graduated exercises Statistical Inference, Second Edition is primarily aimed at graduate students of statistics, but can be used by advanced undergraduate students majoring in statistics who have a solid mathematics background. It also stresses the more practical uses of statistical theory, being more concerned with understanding basic statistical concepts and deriving reasonable statistical procedures, while less focused on formal optimality considerations. This is a reprint of the second edition originally published by Cengage Learning, Inc. in 2001. |
| naked statistics stripping the dread from the data: Out of the Pocket Kirk Herbstreit, 2021-08-17 This powerfully intimate, plain-spoken memoir about fathers and sons, fortitude, and football from the face and voice of college football—Kirk Herbstreit—is not just “a window into the game, but also a peek into what makes him special: his heart” (David Shaw, head coach, Stanford University). Kirk Herbstreit is a reflection of the sport he loves, a reflection of his football-crazed home state of Ohio, where he was a high school star and Ohio State captain, and a reflection of another Ohio State football captain thirty-two years earlier: his dad Jim, who battled Alzheimer’s disease until his death in 2016. In Out of the Pocket, Herbstreit does what his father did for him: takes you inside the locker rooms, to the practice fields, to the meeting rooms, to the stadiums. Herbstreit describes how a combination of hard work, perseverance, and a little luck landed him on the set of ESPN’s iconic College GameDay show, surrounded by tens of thousands of fans who treat their Saturdays like a football Mardi Gras. He takes you into the television production meetings, on to the GameDay set, and into the broadcast booth. You’ll live his life during a football season, see the things he sees, experience every chaotic twist and turn as the year unfolds. Not to mention the relationships he’s established and the insights he’s learned from the likes of coaches and players such as Nick Saban, Tim Tebow, Dabo Swinney, and Peyton Manning, as well as his colleagues, including Chris Fowler, Rece Davis, and his “second dad,” the beloved Coach Lee Corso. Yes, Kirk Herbstreit is the undeniable face and voice of college football—but he’s also a survivor. He’s the quiet kid who withstood the collapse of his parents’ marriage. The boy who endured too many overbearing stepdads and stepmoms. The painfully shy student who always chose the last desk in the last row of the classroom. The young man who persevered through a frustrating Ohio State playing career. The new college graduate who turned down a lucrative sales job after college to pursue a “no way you’ll make it” dream career in broadcasting. Inspiring and powerful, Out of the Pocket “proves the importance of perseverance and family” (Peyton Manning). |
| naked statistics stripping the dread from the data: Lucky Breaks Yevgenia Belorusets, 2022-03-01 Powerful, off-beat stories about women living in the shadow of the now-frozen, now-thawing war in Ukraine Out of the impoverished coal regions of Ukraine known as the Donbass, where Russian secret military intervention coexists with banditry and insurgency, the women of Yevgenia Belorusets’s captivating collection of stories emerge from the ruins of a war, still being waged on and off, ever since the 2014 Revolution of Dignity. Through a series of unexpected encounters, we are pulled into the ordinary lives of these anonymous women: a florist, a cosmetologist, card players, readers of horoscopes, the unemployed, and a witch who catches newborns with a mitt. One refugee tries unsuccessfully to leave her broken umbrella behind as if it were a sick relative; a private caregiver in a disputed zone saves her elderly charge from the angel of death; a woman sits down on International Women’s Day and can no longer stand up; a soldier decides to marry war. Belorusets threads these tales of ebullient survival with a mix of humor, verisimilitude, the undramatic, and a profound Gogolian irony. She also weaves in twenty-three photographs that, in lyrical and historical counterpoint, form their own remarkable visual narrative. |
| naked statistics stripping the dread from the data: The Deep Learning Revolution Terrence J. Sejnowski, 2018-10-23 How deep learning—from Google Translate to driverless cars to personal cognitive assistants—is changing our lives and transforming every sector of the economy. The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy. Sejnowski played an important role in the founding of deep learning, as one of a small group of researchers in the 1980s who challenged the prevailing logic-and-symbol based version of AI. The new version of AI Sejnowski and others developed, which became deep learning, is fueled instead by data. Deep networks learn from data in the same way that babies experience the world, starting with fresh eyes and gradually acquiring the skills needed to navigate novel environments. Learning algorithms extract information from raw data; information can be used to create knowledge; knowledge underlies understanding; understanding leads to wisdom. Someday a driverless car will know the road better than you do and drive with more skill; a deep learning network will diagnose your illness; a personal cognitive assistant will augment your puny human brain. It took nature many millions of years to evolve human intelligence; AI is on a trajectory measured in decades. Sejnowski prepares us for a deep learning future. |
| naked statistics stripping the dread from the data: Applied Predictive Modeling Max Kuhn, Kjell Johnson, 2013-05-17 Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process. This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner’s reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book’s R package. This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics. |
| naked statistics stripping the dread from the data: Introduction to Probability, Second Edition Joseph K. Blitzstein, Jessica Hwang, 2019-02-08 Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and toolsfor understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, medicine, computer science, and information theory. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment. The second edition adds many new examples, exercises, and explanations, to deepen understanding of the ideas, clarify subtle concepts, and respond to feedback from many students and readers. New supplementary online resources have been developed, including animations and interactive visualizations, and the book has been updated to dovetail with these resources. Supplementary material is available on Joseph Blitzstein’s website www. stat110.net. The supplements include: Solutions to selected exercises Additional practice problems Handouts including review material and sample exams Animations and interactive visualizations created in connection with the edX online version of Stat 110. Links to lecture videos available on ITunes U and YouTube There is also a complete instructor's solutions manual available to instructors who require the book for a course. |
| naked statistics stripping the dread from the data: Becoming a Data Head Alex J. Gutman, Jordan Goldmeier, 2021-04-13 Turn yourself into a Data Head. You'll become a more valuable employee and make your organization more successful. Thomas H. Davenport, Research Fellow, Author of Competing on Analytics, Big Data @ Work, and The AI Advantage You've heard the hype around data—now get the facts. In Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning, award-winning data scientists Alex Gutman and Jordan Goldmeier pull back the curtain on data science and give you the language and tools necessary to talk and think critically about it. You'll learn how to: Think statistically and understand the role variation plays in your life and decision making Speak intelligently and ask the right questions about the statistics and results you encounter in the workplace Understand what's really going on with machine learning, text analytics, deep learning, and artificial intelligence Avoid common pitfalls when working with and interpreting data Becoming a Data Head is a complete guide for data science in the workplace: covering everything from the personalities you’ll work with to the math behind the algorithms. The authors have spent years in data trenches and sought to create a fun, approachable, and eminently readable book. Anyone can become a Data Head—an active participant in data science, statistics, and machine learning. Whether you're a business professional, engineer, executive, or aspiring data scientist, this book is for you. |
| naked statistics stripping the dread from the data: Statistical Methods Jyotiprasad Medhi, 1992 The Preface Elucidates That The Text Is Designed For Degree Courses In India. However, I Imagine That It Could Play A Useful Role For Those In Britain. It Is Mainly Intended As An Introductory Text For Those Studying Social Sciences And Economics. Individuals From Other Disciplines Would, No Doubt, Still Find It Useful As A General Reference.The Chapters Are Well Written And Easy To Follow. An Appealing Feature Of The Book Is That Much Emphasis Is Placed On The Understanding And Application Of Statistical Methods. There Is Avoidance Of Excessive Presentation Of Formulae. For These Reasons Alone I Think That Students Will Find The Text Attractive. Each Chapter Finishes With A Series Of Well-Formulated Questions, Which Test The Readers' Understanding.The Two Chapters On Statistical Inference And Tests Of Significance Are Excellent.It Is A Comprehensive And Interesting Text, One That I Think Most Students Would Find Useful. Indeed, It Is An Useful Addition To My Library, Having Already Referred To It Often. The Statistician, London, Vol. 45, No. 3 (1996). |
| naked statistics stripping the dread from the data: Statistics Without Tears Derek Rowntree, 1983 |
| naked statistics stripping the dread from the data: Introduction to Public Policy Charles Wheelan, 2010-01-26 The first introductory public policy text with a strong economics perspective. A new textbook by Charles Wheelan, author of Naked Economics, Introduction to Public Policy uses economic principles to demonstrate that sound public policy occurs when unfettered private markets provide the greatest good for the greatest number. Only when it does not do this is government intervention needed. |
| naked statistics stripping the dread from the data: The Model Thinker Scott E. Page, 2018-11-27 Work with data like a pro using this guide that breaks down how to organize, apply, and most importantly, understand what you are analyzing in order to become a true data ninja. From the stock market to genomics laboratories, census figures to marketing email blasts, we are awash with data. But as anyone who has ever opened up a spreadsheet packed with seemingly infinite lines of data knows, numbers aren't enough: we need to know how to make those numbers talk. In The Model Thinker, social scientist Scott E. Page shows us the mathematical, statistical, and computational models—from linear regression to random walks and far beyond—that can turn anyone into a genius. At the core of the book is Page's many-model paradigm, which shows the reader how to apply multiple models to organize the data, leading to wiser choices, more accurate predictions, and more robust designs. The Model Thinker provides a toolkit for business people, students, scientists, pollsters, and bloggers to make them better, clearer thinkers, able to leverage data and information to their advantage. |
| naked statistics stripping the dread from the data: Statistics Workbook For Dummies Deborah Rumsey, 2005-05-27 Presents an introduction to statistics, providing information on analyzing and interpreting data, knowing where to begin solving problems, and more.--Provided by publisher. |
| naked statistics stripping the dread from the data: The Kimball Group Reader Ralph Kimball, Margy Ross, 2016-02-01 The final edition of the incomparable data warehousing and business intelligence reference, updated and expanded The Kimball Group Reader, Remastered Collection is the essential reference for data warehouse and business intelligence design, packed with best practices, design tips, and valuable insight from industry pioneer Ralph Kimball and the Kimball Group. This Remastered Collection represents decades of expert advice and mentoring in data warehousing and business intelligence, and is the final work to be published by the Kimball Group. Organized for quick navigation and easy reference, this book contains nearly 20 years of experience on more than 300 topics, all fully up-to-date and expanded with 65 new articles. The discussion covers the complete data warehouse/business intelligence lifecycle, including project planning, requirements gathering, system architecture, dimensional modeling, ETL, and business intelligence analytics, with each group of articles prefaced by original commentaries explaining their role in the overall Kimball Group methodology. Data warehousing/business intelligence industry's current multi-billion dollar value is due in no small part to the contributions of Ralph Kimball and the Kimball Group. Their publications are the standards on which the industry is built, and nearly all data warehouse hardware and software vendors have adopted their methods in one form or another. This book is a compendium of Kimball Group expertise, and an essential reference for anyone in the field. Learn data warehousing and business intelligence from the field's pioneers Get up to date on best practices and essential design tips Gain valuable knowledge on every stage of the project lifecycle Dig into the Kimball Group methodology with hands-on guidance Ralph Kimball and the Kimball Group have continued to refine their methods and techniques based on thousands of hours of consulting and training. This Remastered Collection of The Kimball Group Reader represents their final body of knowledge, and is nothing less than a vital reference for anyone involved in the field. |
| naked statistics stripping the dread from the data: Data Science for Business Foster Provost, Tom Fawcett, 2013-07-27 Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the data-analytic thinking necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making. Understand how data science fits in your organization—and how you can use it for competitive advantage Treat data as a business asset that requires careful investment if you’re to gain real value Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way Learn general concepts for actually extracting knowledge from data Apply data science principles when interviewing data science job candidates |
| naked statistics stripping the dread from the data: Write for Your Life: A Guide to Clear and Purposeful Writing (and Presentations) Charles Wheelan, 2022-05-10 The best-selling author’s practical guide to writing clearly and convincingly in every professional setting. How would you create a winning pitch for your latest investment idea? Or persuasively argue for a major policy change? Or successfully ask your boss for a raise? The answer: clear and effective communication, whether in writing or through a presentation. Best-selling author Charles Wheelan has spent decades mastering effective communication skills in his work as a writer, college professor, journalist, speechwriter, political candidate, and public speaker. In Write for Your Life, he shares his best tips. Taking readers through all the steps required to arrive at a coherent first draft, he then explains the best ways to improve and fine-tune your writing. He covers how to organize and present information, why it’s necessary to adapt your tone to different audiences, and when to use summaries, sidebars, bullet points, and other tools for making information more digestible. He explores the truth behind popular clichés like Show, don’t tell and Kill your darlings, and discusses the proper use and attribution of quotations from secondary sources. And he goes on to cover how to speak effectively, providing helpful advice for preparing a winning presentation or delivering a speech. Writing with his signature wit and humor, Wheelan illustrates his points with entertaining examples from his own life, as well as memorable anecdotes from leading magazine and newspaper writers, political figures from Winston Churchill to Barack Obama and Elena Kagan, and a diverse array of the best communicators from the worlds of culture, sports, and politics. Write for Your Life is an essential guide for anyone needing to get their ideas across whether in an email, memo, report, presentation, fund-raising letter, or speech. |
| naked statistics stripping the dread from the data: Bayesian Statistics the Fun Way Will Kurt, 2019-07-09 Fun guide to learning Bayesian statistics and probability through unusual and illustrative examples. Probability and statistics are increasingly important in a huge range of professions. But many people use data in ways they don't even understand, meaning they aren't getting the most from it. Bayesian Statistics the Fun Way will change that. This book will give you a complete understanding of Bayesian statistics through simple explanations and un-boring examples. Find out the probability of UFOs landing in your garden, how likely Han Solo is to survive a flight through an asteroid shower, how to win an argument about conspiracy theories, and whether a burglary really was a burglary, to name a few examples. By using these off-the-beaten-track examples, the author actually makes learning statistics fun. And you'll learn real skills, like how to: - How to measure your own level of uncertainty in a conclusion or belief - Calculate Bayes theorem and understand what it's useful for - Find the posterior, likelihood, and prior to check the accuracy of your conclusions - Calculate distributions to see the range of your data - Compare hypotheses and draw reliable conclusions from them Next time you find yourself with a sheaf of survey results and no idea what to do with them, turn to Bayesian Statistics the Fun Way to get the most value from your data. |
Naked Statistics: Stripping the Dread from the Data
Google’s chief economist Hal Var-ian infamously predicted that the 2010s would be the decade when statistics got sexy. Here is statistics as striptease.
Naked Statistics Stripping The Dread From The Data
Naked Statistics Stripping the Dread from the Data - NHBS 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 …
Naked Statistics Stripping The Dread From Data
Naked Statistics Stripping The Dread From Data As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical 2 tools can help us answer these questions and more.
Naked Statistics Stripping The Dread From The Data
3 Sep 2019 · Uncover the mysteries within Crafted by is enigmatic creation, Embark on a Mystery with Naked Statistics Stripping The Dread From The Data . This downloadable ebook, shrouded in suspense, is available in a PDF format ( *). Dive into a world of uncertainty and anticipation. Download now to unravel the secrets hidden within the pages.
Naked Statistics Stripping The Dread From Data
Naked Statistics: Stripping the Dread from Data (New York, NY, W. W. Norton & Company, 2014). 282 pp. ISBN 978-0-393-07195-5. In his review of What Numbers Say and The Numbers Game, Rob Root (Numeracy 3(1): 9) writes
Naked Statistics: Stripping the Dread from the Data - USENIX
If you have been resisting statistics because it seems to be made up of complex and incomprehensible mathematical formulae with the occasional curve, this book may change your mind.
Naked Statistics Stripping The Dread From The Data
Within the pages of "Naked Statistics Stripping The Dread From The Data," a mesmerizing literary creation penned by way of a celebrated wordsmith, readers set about an enlightening odyssey, unraveling the intricate significance of language and its enduring impact on our lives.
Review of Naked Statistics: Stripping the Dread from Data by
Naked Statistics, by Charles Wheelan (2014), is an interesting, example-packed, inviting, and occasionally facetious discussion of concepts covered in most introductory statistics courses.
Naked Statistics: Stripping the Dread from the Data - tu.tv
Statistics can help us identify the factors associated with diseases like cancer and heart disease; it can help us spot cheating on standardized tests. Statistics can even
Naked Statistics Stripping The Dread From The Data
Enter the realm of "Naked Statistics Stripping The Dread From The Data," a mesmerizing literary masterpiece penned with a distinguished author, guiding readers on a profound journey to unravel the secrets and potential hidden within every word.
Naked Statistics Stripping The Dread From 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...
Naked Statistics Stripping The Dread From Data
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...
naked statistics - EMBL
Stripping the Dread from the Data . CHARLES WHEELAN . W. W. Norton & Company New York I London . Contents . Introduction: Why I hated calculus but love statistics ix Acknowledgments xvii What's the Point? 1 . 2 . Descriptive Statistics: Who was the best baseball player of all time? 15 Appendix to Chapter 2 34 . 3 .
Naked Statistics Stripping The Dread From The Data , David ...
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.
Naked Statistics Stripping The Dread From Data
Naked Statistics Stripping The Dread From Data As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical 2 tools can...
Naked Statistics Stripping The Dread From The Data
Statistics often evokes feelings of dread and complexity, conjuring up images of intricate formulas and confusing jargon. But the truth is, statistics is simply a powerful tool for making sense of the world around us. This guide aims to "strip the dread" from data analysis, making statistical concepts understandable and accessible to everyone.
The Probability of Data’s Inherent Sexiness: A Review of Naked ...
Charles Wheelan’s Naked Statistics: Stripping the Dread from the Data (2013) reintroduces the field of statistics to the apathetic reader in an approachable and sympathetic way.
Review of Naked Statistics: Stripping the Dread from Data by …
Naked Statistics: Stripping the Dread from Data(New York, NY, W. W. Norton & Company, 2014). 282 pp. ISBN 978-0-393-07195-5 In his review of What Numbers Say and The Numbers...
Naked Statistics Stripping The Dread From The Data
Naked Statistics: Stripping the Dread From the Data | Wiley 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 …
Naked Statistics Stripping The Dread From The Data
19 Aug 2023 · Naked Statistics Stripping The Dread From 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.
Naked Statistics: Stripping the Dread from the Data
Google’s chief economist Hal Var-ian infamously predicted that the 2010s would be the decade when statistics got sexy. Here is statistics as striptease.
Naked Statistics Stripping The Dread From The Data
Naked Statistics Stripping the Dread from the Data - NHBS 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 …
Naked Statistics Stripping The Dread From Data
Naked Statistics Stripping The Dread From Data As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical 2 tools can help us answer these questions and more.
Naked Statistics Stripping The Dread From The Data
3 Sep 2019 · Uncover the mysteries within Crafted by is enigmatic creation, Embark on a Mystery with Naked Statistics Stripping The Dread From The Data . This downloadable ebook, shrouded in suspense, is available in a PDF format ( *). Dive into a world of uncertainty and anticipation. Download now to unravel the secrets hidden within the pages.
Naked Statistics Stripping The Dread From Data
Naked Statistics: Stripping the Dread from Data (New York, NY, W. W. Norton & Company, 2014). 282 pp. ISBN 978-0-393-07195-5. In his review of What Numbers Say and The Numbers Game, Rob Root (Numeracy 3(1): 9) writes
Naked Statistics: Stripping the Dread from the Data - USENIX
If you have been resisting statistics because it seems to be made up of complex and incomprehensible mathematical formulae with the occasional curve, this book may change your mind.
Naked Statistics Stripping The Dread From The Data
Within the pages of "Naked Statistics Stripping The Dread From The Data," a mesmerizing literary creation penned by way of a celebrated wordsmith, readers set about an enlightening odyssey, unraveling the intricate significance of language and its enduring impact on our lives.
Review of Naked Statistics: Stripping the Dread from Data by
Naked Statistics, by Charles Wheelan (2014), is an interesting, example-packed, inviting, and occasionally facetious discussion of concepts covered in most introductory statistics courses.
Naked Statistics: Stripping the Dread from the Data - tu.tv
Statistics can help us identify the factors associated with diseases like cancer and heart disease; it can help us spot cheating on standardized tests. Statistics can even
Naked Statistics Stripping The Dread From The Data
Enter the realm of "Naked Statistics Stripping The Dread From The Data," a mesmerizing literary masterpiece penned with a distinguished author, guiding readers on a profound journey to unravel the secrets and potential hidden within every word.
Naked Statistics Stripping The Dread From 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...
Naked Statistics Stripping The Dread From Data
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...
naked statistics - EMBL
Stripping the Dread from the Data . CHARLES WHEELAN . W. W. Norton & Company New York I London . Contents . Introduction: Why I hated calculus but love statistics ix Acknowledgments xvii What's the Point? 1 . 2 . Descriptive Statistics: Who was the best baseball player of all time? 15 Appendix to Chapter 2 34 . 3 .
Naked Statistics Stripping The Dread From The Data , David ...
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.
Naked Statistics Stripping The Dread From Data
Naked Statistics Stripping The Dread From Data As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical 2 tools can...
Naked Statistics Stripping The Dread From The Data
Statistics often evokes feelings of dread and complexity, conjuring up images of intricate formulas and confusing jargon. But the truth is, statistics is simply a powerful tool for making sense of the world around us. This guide aims to "strip the dread" from data analysis, making statistical concepts understandable and accessible to everyone.
The Probability of Data’s Inherent Sexiness: A Review of Naked ...
Charles Wheelan’s Naked Statistics: Stripping the Dread from the Data (2013) reintroduces the field of statistics to the apathetic reader in an approachable and sympathetic way.
Review of Naked Statistics: Stripping the Dread from Data by …
Naked Statistics: Stripping the Dread from Data(New York, NY, W. W. Norton & Company, 2014). 282 pp. ISBN 978-0-393-07195-5 In his review of What Numbers Say and The Numbers...
Naked Statistics Stripping The Dread From The Data
Naked Statistics: Stripping the Dread From the Data | Wiley 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 …
Naked Statistics Stripping The Dread From The Data
19 Aug 2023 · Naked Statistics Stripping The Dread From 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.
