Taking the guesswork out of saving and finding money for college, this is a practical and insightful must-have guide for every parent.

    Our inaugural effort is OpenIntro Statistics. Probability is optional, inference is key, and we feature real data whenever possible. Files for the entire book are freely available at openintro.org, and anybody can purchase a paperback copy from amazon.com for under $10.The future for OpenIntro depends on the involvement and enthusiasm of our community. Visit our website, openintro.org. We provide free course management tools, including an online question bank, utilities for creating course quizzes, and many other helpful resources.CERTAIN CONTENT THAT APPEARS ON THIS SITE COMES FROM AMAZON SERVICES LLC. THIS CONTENT IS PROVIDED ‘AS IS’ AND IS SUBJECT TO CHANGE OR REMOVAL AT ANY TIME.Can’t find it here? Search Amazon.com Search: All Products Apparel & AccessoriesBabyBeautyBooksCamera & PhotoCell Phones & ServiceClassical MusicComputersComputer & Video GamesDVDElectronicsGourmet FoodHome & GardenMiscellaneousHealth & Personal CareJewelry & WatchesKitchen & HousewaresMagazine SubscriptionsMusicMusical InstrumentsSoftwareSports & OutdoorsTools & HardwareToys & GamesVHS Keywords:

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    What happened, how it happened, and what it means to you today. A colorful cast of characters whose discoveries were often driven not only by personal tragedy, curiosity, and hard work, but petty bickering, dumb luck, and a healthy dose of humor. For anyone interested in science, medicine, and beyond... Why are you alive right now? Chances are, you owe your life to one of the remarkable medical discoveries in this book. Maybe it was vaccines. Or antibiotics. Or X-rays. Revolutionary medical breakthroughs like these haven’t just changed the way we treat disease, they’ve transformed how we understand ourselves and the world we live in. In Breakthrough!, Jon Queijo tells the hidden stories behind 10 of history’s most amazing medical discoveries. This isn’t dry history: These are life-and-death mysteries uncovered, tales of passionate, often-mocked individuals who stood their ground and were proven right. From germs to genetics, the ancient Hippocrates to the cutting edge, these are stories that have changed the world—and, quite likely, saved your life.

    A growing body of scholarship suggests potential benefits of these activities, including opportunities for peer-to-peer learning, development of skills useful in the modern workplace, and a more empowered conception of citizenship. Some argue that young people pick up these key skills and competencies on their own by interacting with popular culture; but the problems of unequal access, lack of media transparency, and the breakdown of traditional forms of socialization and professional training suggest a role for policy and pedagogical intervention.This report aims to shift the conversation about the digital divide from questions about access to technology to questions about access to opportunities for involvement in participatory culture and how to provide all young people with the chance to develop the cultural competencies and social skills needed. Fostering these skills, the authors argue, requires a systemic approach to media education; schools, afterschool programs, and parents all have distinctive roles to play.The John D. and Catherine T. MacArthur Foundation Reports on Digital Media and Learning

    Good teaching, we believe, should be creatively tailored to the different learning styles of students and should use strategies that make learning easier. Make It Stick turns fashionable ideas like these on their head. Drawing on recent discoveries in cognitive psychology and other disciplines, the authors offer concrete techniques for becoming more productive learners.Memory plays a central role in our ability to carry out complex cognitive tasks, such as applying knowledge to problems never before encountered and drawing inferences from facts already known. New insights into how memory is encoded, consolidated, and later retrieved have led to a better understanding of how we learn. Grappling with the impediments that make learning challenging leads both to more complex mastery and better retention of what was learned.Many common study habits and practice routines turn out to be counterproductive. Underlining and highlighting, rereading, cramming, and single-minded repetition of new skills create the illusion of mastery, but gains fade quickly. More complex and durable learning come from self-testing, introducing certain difficulties in practice, waiting to re-study new material until a little forgetting has set in, and interleaving the practice of one skill or topic with another. Speaking most urgently to students, teachers, trainers, and athletes, Make It Stick will appeal to all those interested in the challenge of lifelong learning and self-improvement.

    And through CODE, we see how this ingenuity and our very human compulsion to communicate have driven the technological innovations of the past two centuries. Using everyday objects and familiar language systems such as Braille and Morse code, author Charles Petzold weaves an illuminating narrative for anyone who’s ever wondered about the secret inner life of computers and other smart machines. It’s a cleverly illustrated and eminently comprehensible story—and along the way, you’ll discover you’ve gained a real context for understanding today’s world of PCs, digital media, and the Internet. No matter what your level of technical savvy, CODE will charm you—and perhaps even awaken the technophile within.

    Others, you wouldn't trust for an instant, even when the stakes are low. Why? What builds the personal credibility that some people simply exude? What do they do differently? This book shows you and helps you build your own personal credibility, the #1 attribute in earning trust and achieving success. Renowned personal coach Sandra K. Allgeier begins with a set of powerful stories that demonstrate what personal credibility really consists of, how it's earned, and how easily it can be destroyed. You'll discover how small daily actions, together with specific communication techniques and decisions, shape others' view of whether you can be trusted. Next, Allgeier illuminates three oft-neglected, crucial secrets of personal credibility. You'll find a hands-on assessment tool designed to help you bring more personal authenticity and transparency to your interactions; as well as practical guidance on suspending judgment and really listening, thereby earning others' trust even if you ultimately choose to disagree. Allgeier concludes with seven specific steps you can take every day to increase your personal credibility, and rebuild credibility you may have already lost. Following her easy-to-understand, easy-to-use guidance, you can live a life that's not just more successful, but happier and more fulfilled, too.

    Whether you're a student, a professional, or just curious about statistical analysis, Head First's brain-friendly formula helps you get a firm grasp of statistics so you can understand key points and actually use them. Learn to present data visually with charts and plots; discover the difference between taking the average with mean, median, and mode, and why it's important; learn how to calculate probability and expectation; and much more.Head First Statistics is ideal for high school and college students taking statistics and satisfies the requirements for passing the College Board's Advanced Placement (AP) Statistics Exam. With this book, you'll:Study the full range of topics covered in first-year statistics Tackle tough statistical concepts using Head First's dynamic, visually rich format proven to stimulate learning and help you retain knowledge Explore real-world scenarios, ranging from casino gambling to prescription drug testing, to bring statistical principles to life Discover how to measure spread, calculate odds through probability, and understand the normal, binomial, geometric, and Poisson distributions Conduct sampling, use correlation and regression, do hypothesis testing, perform chi square analysis, and moreBefore you know it, you'll not only have mastered statistics, you'll also see how they work in the real world. Head First Statistics will help you pass your statistics course, and give you a firm understanding of the subject so you can apply the knowledge throughout your life.

    This book picks you up at the very beginning and guides you through the foundations of algebra using lots of examples and no-nonsense explanations. Each chapter contains well-chosen exercises as well as all the solutions. No prior knowledge is required. Topics include: Exponents, Brackets, Linear Equations and Quadratic Equations. For a more detailed table of contents, use the "Look Inside" feature. From the author of "Great Formulas Explained" and "Physics! In Quantities and Examples".

    Rather than a "how to" for hands-on techies, the book entices lay-readers and experts alike by covering new case studies and the latest state-of-the-art techniques.You have been predicted — by companies, governments, law enforcement, hospitals, and universities. Their computers say, "I knew you were going to do that!" These institutions are seizing upon the power to predict whether you're going to click, buy, lie, or die.Why? For good reason: predicting human behavior combats financial risk, fortifies healthcare, conquers spam, toughens crime fighting, and boosts sales.How? Prediction is powered by the world's most potent, booming unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn.Predictive analytics unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future — lifting a bit of the fog off our hazy view of tomorrow — means pay dirt.In this rich, entertaining primer, former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: -What type of mortgage risk Chase Bank predicted before the recession. -Predicting which people will drop out of school, cancel a subscription, or get divorced before they are even aware of it themselves. -Why early retirement decreases life expectancy and vegetarians miss fewer flights. -Five reasons why organizations predict death, including one health insurance company. -How U.S. Bank, European wireless carrier Telenor, and Obama's 2012 campaign calculated the way to most strongly influence each individual. -How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! -How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. -How judges and parole boards rely on crime-predicting computers to decide who stays in prison and who goes free. -What's predicted by the BBC, Citibank, ConEd, Facebook, Ford, Google, IBM, the IRS, Match.com, MTV, Netflix, Pandora, PayPal, Pfizer, and Wikipedia. A truly omnipresent science, predictive analytics affects everyone, every day. Although largely unseen, it drives millions of decisions, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate.Predictive analytics transcends human perception. This book's final chapter answers the riddle: What often happens to you that cannot be witnessed, and that you can't even be sure has happened afterward — but that can be predicted in advance?Whether you are a consumer of it — or consumed by it — get a handle on the power of Predictive Analytics.

    Now, it's your turn! Attack Your Day's five crucial "activity management" skills and 101 productivity strategies can help you achieve unprecedented levels of effectiveness, as you move relentlessly towards achieving your most important goals in life. You'll learn how to dramatically improve the way you choose and prioritize your activities… organize your day so it's inherently more productive… make sure the most important tasks get done… overcome procrastination once and for all… know how and when to "turn on a dime" in response to events, without sacrificing focus or efficiency… learn how and when to say NO to interruptions. You're always doing "something": make sure you're doing the right things at the right times the right way, and you can transform your life!

    No new cells. No major changes. If you grew up depressed, angry, sad, aggressive, or nasty, you'd be that way for life. And, as you grew older, there'd be nowhere to go but down, as disease, age, or injury wiped out precious, irreplaceable brain cells. But over the past five, ten, twenty years, all that's changed. Using fMRI and PET scanning technology, neuroscientists can now look deep inside the human brain and they've discovered that it's amazingly flexible, resilient, and plastic. Pictures of the Mind: What the New Neuroscience Tells Us About Who We Are shows you what they've discovered and what it means to all of us. Through author Miriam Boleyn-Fitzgerald's masterfully written narrative and use stunning imagery, you'll watch human brains healing, growing, and adapting to challenges. You'll gain powerful new insights into the interplay between environment and genetics, begin understanding how people can influence their own intellectual abilities and emotional makeup, and understand the latest stunning discoveries about coma and "locked-in" syndrome. You'll learn about the tantalizing discoveries that may lead to cures for traumatic brain injury, stroke, emotional disorders, PTSD, drug addiction, chronic pain, maybe even Alzheimer's. Boleyn-Fitzgerald shows how these discoveries are transforming our very understanding of the "self," from an essentially static entity to one that can learn and change throughout life and even master the art of happiness.

    The R language is recognised as one of the most powerful and flexible statistical software packages, and it enables the user to apply many statistical techniques that would be impossible without such software to help implement such large data sets.

    But all too often, these numbers are wrong. This book is a lively guide to spotting bad statistics and learning to think critically about these influential numbers. Damned Lies and Statistics is essential reading for everyone who reads or listens to the news, for students, and for anyone who relies on statistical information to understand social problems.Joel Best bases his discussion on a wide assortment of intriguing contemporary issues that have garnered much recent media attention, including abortion, cyberporn, homelessness, the Million Man March, teen suicide, the U.S. census, and much more. Using examples from the New York Times, the Washington Post, and other major newspapers and television programs, he unravels many fascinating examples of the use, misuse, and abuse of statistical information.In this book Best shows us exactly how and why bad statistics emerge, spread, and come to shape policy debates. He recommends specific ways to detect bad statistics, and shows how to think more critically about "stat wars," or disputes over social statistics among various experts. Understanding this book does not require sophisticated mathematical knowledge; Best discusses the most basic and most easily understood forms of statistics, such as percentages, averages, and rates.This accessible book provides an alternative to either naively accepting the statistics we hear or cynically assuming that all numbers are meaningless. It shows how anyone can become a more intelligent, critical, and empowered consumer of the statistics that inundate both the social sciences and our media-saturated lives.