Teaching Students Who are Exceptional, Diverse, and at Risk in the General Education Classroom [with MyEducationLab Code]


Sharon R. Vaughn - 1996
    From students with disabilities, culturally diverse students, and students with limited English proficiency to economically disadvantaged students this text provides teachers with the tools they need in their diverse classrooms. Revised to reflect the most current research, terminology and teaching practices, the strength of this text continues to be its numerous learning activities and sample lessons addressing both elementary and secondary classrooms. This edition continues its very popular multi- chapter unit on curriculum adaptations with specific strategies and activities for teaching reading, writing, and mathematics. With a new chapter on Response to Intervention and Progress Monitoring and full integration of the RTI framework, and the increase emphasis on middle and secondary students, this text continues its reign as an outstanding resource for all general education teachers. 0131381253 / 9780131381254 Teaching Students Who are Exceptional, Diverse, and at Risk in the General Education Classroom (with MyEducationLab) Package consists of 0135140870 / 9780135140871 MyEducationLab -- Access Card 0137151799 / 9780137151790 Teaching Students Who are Exceptional, Diverse, and at Risk in the General Education Classroom

Bayesian Reasoning and Machine Learning


David Barber - 2012
    They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot locomotion, and their use is spreading rapidly. People who know the methods have their choice of rewarding jobs. This hands-on text opens these opportunities to computer science students with modest mathematical backgrounds. It is designed for final-year undergraduates and master's students with limited background in linear algebra and calculus. Comprehensive and coherent, it develops everything from basic reasoning to advanced techniques within the framework of graphical models. Students learn more than a menu of techniques, they develop analytical and problem-solving skills that equip them for the real world. Numerous examples and exercises, both computer based and theoretical, are included in every chapter. Resources for students and instructors, including a MATLAB toolbox, are available online.

Essentials of Nursing Research: Appraising Evidence for Nursing Practice


Denise F. Polit - 2009
    The Seventh Edition has been updated with stronger coverage of evidence-based practice, including content on how to read, interpret, and critique systematic reviews, which are considered by many to be a cornerstone of evidence-based practice. Also included in the Seventh Edition: a more balanced presentation of medical and social science methods and nomenclature; enhanced coverage of qualitative research; and more!

Fundamentals of Biostatistics (with CD-ROM)


Bernard Rosner - 1982
    Fundamentals of Biostatistics with CD-Rom.

Understanding Research: A Consumer's Guide


Vicki L. Plano Clark - 2009
    This text helps develop in readers the skills, knowledge and strategies needed to read and interpret research reports and to evaluate the quality of such reports.

Employment Law for Business


Dawn D. Bennett-Alexander - 1997
    It is intended to instruct students on how to manage effectively and efficiently with full comprehension of the legal ramifications of their decisions. Students are shown how to analyze employment law facts using concrete examples of management-related legal dilemmas that do not present clear-cut solutions. The methods of arriving at resolutions are emphasized, so that when the facts of the workplace problem are not quite the same, the student can still reach a good decision based on the legal considerations required by law, which remain relevant.

Head First Statistics


Dawn Griffiths - 2008
    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.

Social Statistics for a Diverse Society


Chava Frankfort-Nachmias - 1996
    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.

Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die


Eric Siegel - 2013
    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.

Introduction to Teaching: Becoming a Professional [With Online Access Code and DVD]


Donald P. Kauchak - 2001
    Three themes central to teaching today-- professionalism, diversity, and decision-making-- are woven through the text to give students deeper understanding of the teaching profession and to better prepare them for that profession. Two questions frame the text, "Do I want to be a teacher?" and "What kind of teacher do I want to become?." Case studies at the beginnings of chapters provide a frame of reference for understanding chapter content while numerous teaching vignettes throughout the chapters provide vivid examples that increase reader understanding and interest.

Statistics Without Tears: An Introduction for Non-Mathematicians


Derek Rowntree - 1981
    With it you can prime yourself with the key concepts of statistics before getting involved in the associated calculations. Using words and diagrams instead of figures, formulae and equations, Derek Rowntree makes statistics accessible to those who are non-mathematicians. And just to get you into the spirit of things. Rowntree has included questions in his argument; answer them as you go and you will be able to tell how far you have mastered the subject.

Elementary Statistics: Picturing the World


Ron Larson - 2002
    Offering an approach with a visual/graphical emphasis, this text offers a number of examples on the premise that students learn best by doing. This book features an emphasis on interpretation of results and critical thinking over calculations.

New GRE 2011-2012 Premier with CD-ROM


Kaplan Test Prep - 2011
    With an increasing number of graduate and business school applicants and an increasing number of GRE test-takers—now a complete test overhaul by the test-maker—a high GRE score is critical to set yourself apart from the competition.New GRE 2011-2012 Premier with CD-ROM is a comprehensive package that includes a book, CD-ROM, and online companion with in-depth strategies, test information, and practice questions to help students score higher on the new GRE Revised General Test. New GRE 2011-2012 Premier with CD-ROM is fully updated and revised with 75 percent all-new content covering the revised and expanded Verbal, Quantitative, and Analytical Writing Assessment Test sections, including 50 percent new practice questions and brand new strategies for each of the new question types.New GRE 2011-2012 Premier with CD-ROM features:6 full-length practice tests (1 in the book, 5 online)400 practice questions and answer explanations on the CD-ROMA detailed overview of the test changesKey strategies for all New GRE question typesDetails and practice sets for the Verbal and Quantitative sectionsDiagnostic tool in end-of-chapter practice sets for even more targeted practiceAdvice for the graduate school application processKaplan guarantees that readers will score higher on the GRE Revised General Test using our guide—or get their money back.

The Cartoon Guide to Statistics


Larry Gonick - 1993
    Never again will you order the Poisson Distribution in a French restaurant!This updated version features all new material.

Big Data: A Revolution That Will Transform How We Live, Work, and Think


Viktor Mayer-Schönberger - 2013
    “Big data” refers to our burgeoning ability to crunch vast collections of information, analyze it instantly, and draw sometimes profoundly surprising conclusions from it. This emerging science can translate myriad phenomena—from the price of airline tickets to the text of millions of books—into searchable form, and uses our increasing computing power to unearth epiphanies that we never could have seen before. A revolution on par with the Internet or perhaps even the printing press, big data will change the way we think about business, health, politics, education, and innovation in the years to come. It also poses fresh threats, from the inevitable end of privacy as we know it to the prospect of being penalized for things we haven’t even done yet, based on big data’s ability to predict our future behavior.In this brilliantly clear, often surprising work, two leading experts explain what big data is, how it will change our lives, and what we can do to protect ourselves from its hazards. Big Data is the first big book about the next big thing.www.big-data-book.com