Covering various the materials needed by students in engineering, science, and mathematics, this calculus text makes effective use of computing technology, graphics, and applications. It presents at least two technology projects in each chapter.

    The authors help students learn key sociological concepts through real research examples related to the dynamic interplay of race, class, gender, and other social variables.

    Switching from thin tailed to fat tailed distributions requires more than "changing the color of the dress." Traditional asymptotics deal mainly with either n=1 or n=∞, and the real world is in between, under the "laws of the medium numbers"-which vary widely across specific distributions. Both the law of large numbers and the generalized central limit mechanisms operate in highly idiosyncratic ways outside the standard Gaussian or Levy-Stable basins of convergence. A few examples: - The sample mean is rarely in line with the population mean, with effect on "na�ve empiricism," but can be sometimes be estimated via parametric methods. - The "empirical distribution" is rarely empirical. - Parameter uncertainty has compounding effects on statistical metrics. - Dimension reduction (principal components) fails. - Inequality estimators (Gini or quantile contributions) are not additive and produce wrong results. - Many "biases" found in psychology become entirely rational under more sophisticated probability distributions. - Most of the failures of financial economics, econometrics, and behavioral economics can be attributed to using the wrong distributions. This book, the first volume of the Technical Incerto, weaves a narrative around published journal articles.

    There's a greater emphasis than usual on Golden Age writers (just the way it came together) -- but we have one original story as well, a posthumous collaboration with H.B. Fyfe, finishing a really terrific but not-quite-done tale he had been working on before his death. It's a bit reminiscent of James Tiptree, Jr.'s best work -- but predates Tiptree by a couple of decades. And we have novels by Robert Silverberg, Frederik Pohl & C.M. Kornbluth, Murray Leinster, E. Everett Evans, and Donald Wollheim...not to mention part 2 of our serialization of Tony Rothman's mammoth 2013 novel, Firebird. And a ton of great short stories. 36 works in all, more than 1900 pages of great reading!ANGELS IN THE JETS, by Jerome BixbyA CODE FOR SAM, by Lester del ReySTAR SHIP, by Poul AndersonTHE WELL-OILED MACHINE, by H.B. FyfeJACK OF NO TRADES, by Evelyn E. SmithTHE GRAVITY BUSINESS, by James E. GunnDOOMSDAY EVE, by Robert Moore WilliamsMASTER OF LIFE AND DEATH, by Robert SilverbergFALCONS OF NARABEDLA, by Marion Zimmer BradleyNEW LAMPS, by Robert Moore WilliamsTHE PIRATES OF ZAN, by Murray LeinsterOUT OF THE IRON WOMB!, by Poul AndersonLATER THAN YOU THINK, by Fritz LeiberTHE PLANET MAPPERS, by E. Everett EvansAFTERGLOW, by H.B. Fyfe and John Gregory BetancourtSHIPPING CLERK, by William MorrisonCONTAGION, by Katherine MacLeanTHE LIGHT ON PRECIPICE PEAK, by Stephen TallTHE LUCKIEST MAN IN DENV, by Simon EisnerON THE FOURTH PLANET, by J.F. BoneBIMMIE SAYS, by Sydney Van ScyocSWEET TOOTH, by Robert F. YoungSEARCH THE SKY, by Frederik Pohl and C. M. KornbluthSTAR, BRIGHT, by Mark CliftonHOT PLANET, by Hal ClementTWO WEEKS IN AUGUST, by Frank M. RobinsonTHE ALIEN, by Raymond F. JonesBODYGUARD, by Christopher GrimmJAYWALKER, by Ross RocklynneSECOND CHILDHOOD, by Clifford D. SimakOF ALL POSSIBLE WORLDS, by William TennPOLLONY UNDIVERTED, by Sydney Van ScyocDELAY IN TRANSIT, by F. L. WallaceA GIFT FROM EARTH, by Manly BanisterONE AGAINST THE MOON, by Donald A. WollheimSpecial Feature: FIREBIRD, by Tony Rothman [Part 2 of 3]If you enjoy this volume of classic stories, don't forget to search your favorite ebook store for "Wildside Press Megapack" to see the 270+ other entries in this series, including science fiction, fantasy, mysteries, adventure, horror, westerns -- and much, much more!

    Pure Mathematics 1 corresponds to unit P1. It covers quadratics, functions, coordinate geometry, circular measure, trigonometry, vectors, series, differentiation and integration.

    But the truth is far more sinister, says Austin Ruse. We're actually living in the age of the low information voter, easily mislead by all-too-convincing false statistics and studies. In Fact-Shaming, Ruse debunks so-called "facts" used to advance political causes one after the other, revealing how poorly they stand up to actual science.

    From the classroom to the courtroom and from financial markets to supermarkets, Mlodinow's intriguing and illuminating look at how randomness, chance, and probability affect our daily lives will intrigue, awe, and inspire.

    In the modern experimentalist paradigm, these techniques address clear causal questions such as: Do smaller classes increase learning? Should wife batterers be arrested? How much does education raise wages? Mostly Harmless Econometrics shows how the basic tools of applied econometrics allow the data to speak.In addition to econometric essentials, Mostly Harmless Econometrics covers important new extensions--regression-discontinuity designs and quantile regression--as well as how to get standard errors right. Joshua Angrist and Jorn-Steffen Pischke explain why fancier econometric techniques are typically unnecessary and even dangerous. The applied econometric methods emphasized in this book are easy to use and relevant for many areas of contemporary social science.An irreverent review of econometric essentials A focus on tools that applied researchers use most Chapters on regression-discontinuity designs, quantile regression, and standard errors Many empirical examples A clear and concise resource with wide applications

    In How Not to Be Wrong, Jordan Ellenberg shows us how terribly limiting this view is: Math isn’t confined to abstract incidents that never occur in real life, but rather touches everything we do—the whole world is shot through with it.Math allows us to see the hidden structures underneath the messy and chaotic surface of our world. It’s a science of not being wrong, hammered out by centuries of hard work and argument. Armed with the tools of mathematics, we can see through to the true meaning of information we take for granted: How early should you get to the airport? What does “public opinion” really represent? Why do tall parents have shorter children? Who really won Florida in 2000? And how likely are you, really, to develop cancer?How Not to Be Wrong presents the surprising revelations behind all of these questions and many more, using the mathematician’s method of analyzing life and exposing the hard-won insights of the academic community to the layman—minus the jargon. Ellenberg chases mathematical threads through a vast range of time and space, from the everyday to the cosmic, encountering, among other things, baseball, Reaganomics, daring lottery schemes, Voltaire, the replicability crisis in psychology, Italian Renaissance painting, artificial languages, the development of non-Euclidean geometry, the coming obesity apocalypse, Antonin Scalia’s views on crime and punishment, the psychology of slime molds, what Facebook can and can’t figure out about you, and the existence of God.Ellenberg pulls from history as well as from the latest theoretical developments to provide those not trained in math with the knowledge they need. Math, as Ellenberg says, is “an atomic-powered prosthesis that you attach to your common sense, vastly multiplying its reach and strength.” With the tools of mathematics in hand, you can understand the world in a deeper, more meaningful way. How Not to Be Wrong will show you how.

    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 FiveThirtyEight.com. 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, 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 the most accurate forecasters tend to have a superior command of probability, and they tend to be both humble and hardworking. They distinguish the predictable from the unpredictable, and they notice a thousand little details that lead them closer to the truth. Because of their appreciation of probability, they can distinguish the signal from the noise.

    From humorous fishing excursions and frightening bear encounters to snow blinding blizzards and quirky characters, they come face to face with the unpredictable Mother Nature and learn the value of friendship, survival, and solitude in a picturesque but harsh life by the sea. Packed with adventures, challenges, and true Alaskan lifestyle.

    Kathryn Schulz, editor of Grist magazine, argues that error is the fundamental human condition and should be celebrated as such. Guiding the reader through the history and psychology of error, from Socrates to Alan Greenspan, Being Wrong will change the way you perceive screw-ups, both of the mammoth and daily variety, forever.

    Jon Wertheim to overturn some of the most cherished truisms of sports, and reveal the hidden forces that shape how basketball, baseball, football, and hockey games are played, won and lost.Drawing from Moskowitz's original research, as well as studies from fellow economists such as bestselling author Richard Thaler, the authors look at: the influence home-field advantage has on the outcomes of games in all sports and why it exists; the surprising truth about the universally accepted axiom that defense wins championships;  the subtle biases that umpires exhibit in calling balls and strikes in key situations; the unintended consequences of referees' tendencies in every sport to "swallow the whistle," and more.Among the insights that Scorecasting reveals:Why Tiger Woods is prone to the same mistake in high-pressure putting situations that you and I areWhy professional teams routinely overvalue draft picks The myth of momentum  or the "hot hand" in sports, and why so many fans, coaches, and broadcasters fervently subscribe to itWhy NFL coaches rarely go for a first down on fourth-down situations--even when their reluctance to do so reduces their chances of winning.In an engaging narrative that takes us from the putting greens of Augusta to the grid iron of a small parochial high school in Arkansas, Scorecasting will forever change how you view the game, whatever your favorite sport might be.

    In response to the dynamic environment of management, Richard Daft has written a text integrating the newest management thinking with a solid foundation in the essentials of management.

    A comprehensive introduction to the subject, this book shows in detail how such problems can be solved numerically with great efficiency. The focus is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. The text contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, mathematics, statistics, finance, and economics.