Get ready to amaze your friends—and yourself—with incredible calculations you never thought you could master, as renowned “mathemagician” Arthur Benjamin shares his techniques for lightning-quick calculations and amazing number tricks. This book will teach you to do math in your head faster than you ever thought possible, dramatically improve your memory for numbers, and—maybe for the first time—make mathematics fun.Yes, even you can learn to do seemingly complex equations in your head; all you need to learn are a few tricks. You’ll be able to quickly multiply and divide triple digits, compute with fractions, and determine squares, cubes, and roots without blinking an eye. No matter what your age or current math ability, Secrets of Mental Math will allow you to perform fantastic feats of the mind effortlessly. This is the math they never taught you in school.Also available as an eBook

    And yet that's exactly what he's achieved, winning plenty of awards (and hearts) along the way. But how did a young musician go from selling CDs from his rucksack to becoming the millennial record-breaking international stadium act?Tracing his story from his bohemian childhood in Yorkshire and Suffolk to the release of his third album Divide, music journalist David Nolan chronicles Sheeran's musical life and times. Featuring exclusive interviews with friends, relatives, musical collaborators and key figures in his rise to stardom, Divide and Conquer tells the story of how Ed Sheeran went from school drop-out to one of the world's most successful musicians.

    Clear explanations are detailed with many current examples.

    Emphasis is placed upon the theoretical basis of each type of instrument, its optimal area of application, its sensitivity, its precision, and its limitations. The text also introduces students to elementary integrated circuitry, microprocessors and computers, and treatment of analytical data.

    Wade have on violent crime? Freakonomics will literally redefine the way we view the modern world.These may not sound like typical questions for an economist to ask. But Steven D. Levitt is not a typical economist. He is a much heralded scholar who studies the stuff and riddles of everyday life -- from cheating and crime to sports and child rearing -- and whose conclusions regularly turn the conventional wisdom on its head. He usually begins with a mountain of data and a simple, unasked question. Some of these questions concern life-and-death issues; others have an admittedly freakish quality. Thus the new field of study contained in this book: freakonomics.Through forceful storytelling and wry insight, Levitt and co-author Stephen J. Dubner show that economics is, at root, the study of incentives -- how people get what they want, or need, especially when other people want or need the same thing. In Freakonomics, they set out to explore the hidden side of ... well, everything. The inner workings of a crack gang. The truth about real-estate agents. The myths of campaign finance. The telltale marks of a cheating schoolteacher. The secrets of the Ku Klux Klan.What unites all these stories is a belief that the modern world, despite a surfeit of obfuscation, complication, and downright deceit, is not impenetrable, is not unknowable, and -- if the right questions are asked -- is even more intriguing than we think. All it takes is a new way of looking. Steven Levitt, through devilishly clever and clear-eyed thinking, shows how to see through all the clutter.Freakonomics establishes this unconventional premise: If morality represents how we would like the world to work, then economics represents how it actually does work. It is true that readers of this book will be armed with enough riddles and stories to last a thousand cocktail parties. But Freakonomics can provide more than that. It will literally redefine the way we view the modern world.(front flap)

    Smith. But, thanks to the determination of a powerful senator, he would soon find himself at the agency’s helm. A Birkenstocks-wearing physics PhD, Jaczko was unlike any chairman the agency had ever seen: he was driven by a passion for technology and a concern for public safety, with no ties to the industry and no agenda other than to ensure that his agency made the world a safer place. And so Jaczko witnessed what outsiders like him were never meant to see—an agency overpowered by the industry it was meant to regulate and a political system determined to keep it that way. After an emergency trip to Japan to help oversee the frantic response to the horrifying nuclear disaster at Fukushima in 2011, and witnessing the American nuclear industry’s refusal to make the changes he considered necessary to prevent an equally catastrophic event from occurring here, Jaczko started saying aloud what no one else had dared. Confessions of a Rogue Nuclear Regulator is a wake-up call to the dangers of lobbying, the importance of governmental regulation, and the failures of congressional oversight. But it is also a classic tale of an idealist on a mission whose misadventures in Washington are astounding, absurd, and sometimes even funny—and Jaczko tells the story with humor, self-deprecation, and, yes, occasional bursts of outrage. Above all, Confessions of a Rogue Nuclear Regulator is a tale of confronting the truth about one of the most pressing public safety and environmental issues of our time: nuclear power will never be safe.

    This new edition simplifies many of the steps involved in analysis by using the computer application Excel. Over 100 detailed example problems illustrate important fluid mechanics concepts: Approximately 1300 end-of-chapter problems are arranged by difficulty level and include many problems that are designed to be solved using Excel. The CD for the book includes: A Brief Review of Microsoft Excel and numerous Excel files for the example problems and for use in solving problems. The new edition includes an expanded discussion of pipe networks, and a new section on oblique shocks and expansion waves.

    This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way. You’ll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

    This ninth edition covers both analytical and empirical approaches to the subject. The examples and templates provide students with resources for computer-numerical solutions.

    This claim is not only false, but its presence in the debate is an insult to science." With these words, the authors begin a detailed analysis of one of the most controversial topics of the day. The authors make a compelling case against claims of a scientific consensus. The purported proof of such a consensus consists of sloppy research by nonscientists, college students, and a highly partisan Australian blogger. Surveys of climate scientists, even those heavily biased in favor of climate alarmism, find extensive disagreement on the underlying science and doubts about its reliability. The authors point to four reasons why scientists disagree about global warming: a conflict among scientists in different and often competing disciplines; fundamental scientific uncertainties concerning how the global climate responds to the human presence; failure of the United Nations Intergovernmental Panel on Climate Change (IPCC) to provide objective guidance to the complex science; and bias among researchers. The authors offer a succinct summary of the real science of climate change based on their previously published comprehensive review of climate science in a volume titled Climate Change Reconsidered II: Physical Science. They recommend that policymakers resist pressure from lobby groups to silence scientists who question the authority of the IPCC to claim to speak for climate science. More than 50,000 copies of the first edition were sold or given away in five months to elected officials, civic and business leaders, scientists, and other opinion leaders. The response from the science community and experts on climate change has been overwhelmingly positive. To meet demand for more copies, we have produced this second revised edition. Changes include a foreword by Marita Noon, at the time executive director of Energy Makes America Great, Inc. Some of the discussion in Chapter 1 has been revised and expanded thanks to feedback from readers of the first edition. Graphs in Chapters 4, 5, and 6 are now full color, and new graphs have been added.

    This book demonstrates how the notation and process complement one another, using UML models to illustrate the new process in action. It describes the constructs such as use cases, actors, and more.

    In an overcrowded, underfunded medical system, she explores how more of us can be healthier, and how listening carefully to a patient’s experience can be as important as prescribing a pill. These dazzling essays show Hitchcock to be one of the most fearless and illuminating medical thinkers of our time – reasonable, insightful and deeply humane.

    The book makes clear that applied microeconometrics is about the estimation of marginal and treatment effects, and that parametric estimation is simply a means to this end. It also clarifies the distinction between causality and statistical association. The book focuses specifically on cross section and panel data methods. Population assumptions are stated separately from sampling assumptions, leading to simple statements as well as to important insights. The unified approach to linear and nonlinear models and to cross section and panel data enables straightforward coverage of more advanced methods. The numerous end-of-chapter problems are an important component of the book. Some problems contain important points not fully described in the text, and others cover new ideas that can be analyzed using tools presented in the current and previous chapters. Several problems require the use of the data sets located at the author's website.

    It also explains the "why" of trigonometry, using real-world examples that illustrate the value of trigonometry in a variety of careers. Mary Jane Sterling (Peoria, IL) has taught mathematics at Bradley University in Peoria for more than 20 years. She is also the author of the highly successful Algebra For Dummies (0-7645-5325-9).

    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.