How statistical data is used, misused, and abused every day to fool us: “A very entertaining book about a very serious problem.” —Robert J. Shiller, winner of the Nobel Prize in Economics and author of Irrational Exuberance Did you know that baseball players whose names begin with “D” are more likely to die young? That Asian Americans are most susceptible to heart attacks on the fourth day of the month? That drinking a full pot of coffee every morning adds years to your life, but one cup a day increases your pancreatic cancer risk? These “facts” have been argued with a straight face by credentialed researchers and backed up with reams of data and convincing statistics. As Nobel Prize–winning economist Ronald Coase cynically observed, “If you torture data long enough, it will confess.” Lying with statistics is a time-honored con. In Standard Deviations, economics professor Gary Smith walks us through the various tricks and traps that people use to back up their own crackpot theories. Sometimes, the unscrupulous deliberately try to mislead us. Other times, the well-intentioned are blissfully unaware of the mischief they are committing. Today, data is so plentiful that researchers spend precious little time distinguishing between good, meaningful indicators and total rubbish. Not only do others use data to fool us, we fool ourselves. Drawing on breakthrough research in behavioral economics and using clear examples, Standard Deviations demystifies the science behind statistics and makes it easy to spot the fraud all around us. “An entertaining primer . . . packed with figures, tables, graphs and ludicrous examples from people who know better (academics, scientists) and those who don’t (political candidates, advertisers).” —Kirkus Reviews (starred review)

TheSkimm’s Best of Skimm Reads NPR’s Guide to Great Reads The Washington Post’s 50 Notable Works of Fiction of the Year Minnesota Public Radio’s The Best Books to Give and Get: Fiction Picks of the Year An uproarious novel ("Both heart-piercing and, crucially, very funny." —Louise Erdrich, The New York Times) from the celebrated author of Single, Carefree, Mellow about the challenges of a good marriage, the delight and heartache of raising children, and the irresistible temptation to wonder about the path not taken. When Graham Cavanaugh divorced his first wife it was to marry his girlfriend, Audra, a woman as irrepressible as she is spontaneous and fun. But, Graham learns, life with Audra can also be exhausting, constantly interrupted by chatty phone calls, picky-eater houseguests, and invitations to weddings of people he’s never met. Audra firmly believes that through the sheer force of her personality she can overcome the most socially challenging interactions, shepherding her son through awkward playdates and origami club, and even deciding to establish a friendship with Graham’s first wife, Elspeth. Graham isn't sure he understands why Audra longs to be friends with the woman he divorced. After all, former spouses are hard to categorize—are they enemies, old flames, or just people you know really, really well? And as Graham and Audra share dinners, holidays, and late glasses of wine with his first wife he starts to wonder: How can anyone love two such different women? Did I make the right choice? Is there a right choice? A hilarious and rueful debut novel of love, marriage, infidelity, and origami, Standard Deviation never deviates from the superb.

“I was twenty-three and I had set off for Asia to become a writer, intrigued by lurid tales of booms, busts, drugs, sex, violence, magic. There was a wicked sorcery in Asia, in the economic profligacy of the early nineties, in the way financiers and businessmen took a rapidly wiring and developing continent and looted billions, like a titanic parlor trick converting all that wealth into abandoned office complexes and half-completed shopping malls. . . . I wanted it all—the money, the sex, the drugs. And to this day I believe that if I am honest with myself, despite all I have learned the hard way over the past decade, I would still want it all again, the fucking and the getting loaded and the scheming to get enough money to pay for that life.” In the late 1980s, not long out of college, Karl Taro Greenfeld found himself stranded in New York, a failed writer before his career had even begun. His Jewish-American father angrily cut off support; his Japanese mother suggested he go to Japan to teach English. He did, accepting a job with no more promise than he’d had before. But he stayed in Asia for the next several years, working his way through a series of journalistic posts, watching a culture erupt before his eyes and facing his own demons. Through a series of vividly imagistic stories that range from the rigidly journalistic to the deeply intimate, Standard Deviations recounts Greenfeld’s experiences—both professional and personal—during Asia’s wild ride at the end of the twentieth century. Whether drinking Japanese cough syrup to get high with other Western expatriates, visiting a free-sex ashram in Bombay, or watching a former high school pal self-destruct as an equity analyst in Jakarta, Greenfeld evokes the spirit of a continent in flux at an explosive “bubble” economy’s end—and a man confronting his own identity and aspirations. Raunchy, insightful, eloquent and moving, Standard Deviations is an uncompromising work of cultural observation and self-exploration.

Essential Statistics, Regression, and Econometrics, Second Edition, is innovative in its focus on preparing students for regression/econometrics, and in its extended emphasis on statistical reasoning, real data, pitfalls in data analysis, and modeling issues. This book is uncommonly approachable and easy to use, with extensive word problems that emphasize intuition and understanding. Too many students mistakenly believe that statistics courses are too abstract, mathematical, and tedious to be useful or interesting. To demonstrate the power, elegance, and even beauty of statistical reasoning, this book provides hundreds of new and updated interesting and relevant examples, and discusses not only the uses but also the abuses of statistics. The examples are drawn from many areas to show that statistical reasoning is not an irrelevant abstraction, but an important part of everyday life. - Includes hundreds of updated and new, real-world examples to engage students in the meaning and impact of statistics - Focuses on essential information to enable students to develop their own statistical reasoning - Ideal for one-quarter or one-semester courses taught in economics, business, finance, politics, sociology, and psychology departments, as well as in law and medical schools - Accompanied by an ancillary website with an instructors solutions manual, student solutions manual and supplementing chapters

The fun and easy way to get down to business with statistics Stymied by statistics? No fear? this friendly guide offers clear, practical explanations of statistical ideas, techniques, formulas, and calculations, with lots of examples that show you how these concepts apply to your everyday life. Statistics For Dummies shows you how to interpret and critique graphs and charts, determine the odds with probability, guesstimate with confidence using confidence intervals, set up and carry out a hypothesis test, compute statistical formulas, and more. Tracks to a typical first semester statistics course Updated examples resonate with today's students Explanations mirror teaching methods and classroom protocol Packed with practical advice and real-world problems, Statistics For Dummies gives you everything you need to analyze and interpret data for improved classroom or on-the-job performance.

Analyzing works by George Eliot, Joseph Conrad and James Joyce, the author offers a new approach to narrative theory by showing how successive generations of novelists have used ever more powerful concepts of chance even though, he argues, chance is precisely what narrative cannot represent, since when it tries to do so it slips into the fated. He also relates the novelistic treatment of chance to important historical currents in the philosophical and scientific understanding of chance, and provides a theoretical framework for analyzing the representation of chance in any narrative. The author asks three central questions: Why did British novelists become intensely interested in chance in the late nineteenth century? Why and how did they thematize it in their fiction? How did the novelistic treatment of chance contribute to innovations in narrative form?

Introductory Statistics follows scope and sequence requirements of a one-semester introduction to statistics course and is geared toward students majoring in fields other than math or engineering. The text assumes some knowledge of intermediate algebra and focuses on statistics application over theory. Introductory Statistics includes innovative practical applications that make the text relevant and accessible, as well as collaborative exercises, technology integration problems, and statistics labs. Senior Contributing Authors Barbara Illowsky, De Anza College Susan Dean, De Anza College Contributing Authors Daniel Birmajer, Nazareth College Bryan Blount, Kentucky Wesleyan College Sheri Boyd, Rollins College Matthew Einsohn, Prescott College James Helmreich, Marist College Lynette Kenyon, Collin County Community College Sheldon Lee, Viterbo University Jeff Taub, Maine Maritime Academy

The goal of this book is multidimensional: a) to help reviving Statistics education in many parts in the world where it is in crisis. For the first time authors from many developing countries have an opportunity to write together with the most prominent world authorities. The editor has spent several years searching for the most reputable statisticians all over the world. International contributors are either presidents of the local statistical societies, or head of the Statistics department at the main university, or the most distinguished statisticians in their countries. b) to enable any non-statistician to obtain quick and yet comprehensive and highly understandable view on certain statistical term, method or application c) to enable all the researchers, managers and practicioners to refresh their knowledge in Statistics, especially in certain controversial fields. d) to revive interest in statistics among students, since they will see its usefulness and relevance in almost all branches of Science.

Archival snapshot of entire looseleaf Code of Massachusetts Regulations held by the Social Law Library of Massachusetts as of January 2020.