of Wisconsin-Madison) and Wichern (Texas A&M U.) present the newest edition of this college text on the statistical methods for describing and analyzing multivariate data, designed for students who have taken two or more statistics courses. The fifth edition includes the addition of seve

    In an Internet society, according to Richard Susskind and Daniel Susskind, we will neither need nor want doctors, teachers, accountants, architects, the clergy, consultants, lawyers, and many others, to work as they did in the 20th century.The Future of the Professions explains how 'increasingly capable systems' -- from telepresence to artificial intelligence -- will bring fundamental change in the way that the 'practical expertise' of specialists is made available in society.The authors challenge the 'grand bargain' -- the arrangement that grants various monopolies to today's professionals. They argue that our current professions are antiquated, opaque and no longer affordable, and that the expertise of their best is enjoyed only by a few. In their place, they propose six new models for producing and distributing expertise in society.The book raises important practical and moral questions. In an era when machines can out-perform human beings at most tasks, what are the prospects for employment, who should own and control online expertise, and what tasks should be reserved exclusively for people?Based on the authors' in-depth research of more than ten professions, and illustrated by numerous examples from each, this is the first book to assess and question the relevance of the professions in the 21st century.

    In this linear construct, you go to work for a week and at week’s end you are compensated for that work. The next week you do more work and are compensated for that work, and so on. This is a common agreement between employers and employees in many countries, including the United States. The purpose of this book is to challenge that construct. It is the author's intent to suggest a more profitable arrangement for the creator of the product — the worker. The notion is that one could work on a project for a certain amount of time but the product of that project could pay dividends for a longer term. One might work for a week and be paid for the product of that work every week for many years. Imagine how this construct would compound income week after week, project after project. At some point, with numerous streams of income from a growing number of completed projects, one would be able to discontinue taking on new projects if he or she desired, living off the residuals of the projects he or she created to that point. Indeed, one could take a vacation, still earning income from work he or she completed long ago. With the help of Dr. Frederick Von Greensburg, Thaddeus Cooper breaks down the concept of passive income and outlines a strategy for creating streams of this revenue to supplement or replace traditional income. A self-help book for the masses and a manifesto for the most creative among us, Don't Give Your Work Away For Free: A free ebook by Thaddeus Cooper is a MUST READ!

    Sambhaji had a tough childhood. His father was too busy to look after him and his mother died when he was only two. The young Sambhaji's main support came from his grandmother. When she died, he was bereft of love and care. To make matters worse, his step-mother was campaigning to make her own son the next ruler, trying to poison Shivaji's mind against Sambhaji. This Amar Chitra Katha traces the events that led up to the coronation of this wise and just Maratha ruler.

    The 13th Edition continues its market leading up-to-date coverage of service operations as well. The text includes solved examples and problems, enough cases for MBA courses to use without supplementing, and the industry leading technology support suite.

    The book focuses on the concepts of statistics with applications to the functional areas of business. It is rich in applications from accounting, finance, marketing, management and economics, covering data collection, tables and charts, probability, estimation, and more. For professionals, particularly managers, making financial analyses and decisions.

    In this lively and groundbreaking new book, economist Ian Ayres shows how today's best and brightest organizations are analyzing massive databases at lightening speed to provide greater insights into human behavior. They are the Super Crunchers. From internet sites like Google and Amazon that know your tastes better than you do, to a physician's diagnosis and your child's education, to boardrooms and government agencies, this new breed of decision makers are calling the shots. And they are delivering staggeringly accurate results. How can a football coach evaluate a player without ever seeing him play? Want to know whether the price of an airline ticket will go up or down before you buy? How can a formula outpredict wine experts in determining the best vintages? Super crunchers have the answers. In this brave new world of equation versus expertise, Ayres shows us the benefits and risks, who loses and who wins, and how super crunching can be used to help, not manipulate us.Gone are the days of solely relying on intuition to make decisions. No businessperson, consumer, or student who wants to stay ahead of the curve should make another keystroke without reading Super Crunchers.

    Politicians and marketers present shoddy evidence for dubious claims all the time. But smart people make mistakes too, and when it comes to statistics, plenty of otherwise great scientists--yes, even those published in peer-reviewed journals--are doing statistics wrong."Statistics Done Wrong" comes to the rescue with cautionary tales of all-too-common statistical fallacies. It'll help you see where and why researchers often go wrong and teach you the best practices for avoiding their mistakes.In this book, you'll learn: - Why "statistically significant" doesn't necessarily imply practical significance- Ideas behind hypothesis testing and regression analysis, and common misinterpretations of those ideas- How and how not to ask questions, design experiments, and work with data- Why many studies have too little data to detect what they're looking for-and, surprisingly, why this means published results are often overestimates- Why false positives are much more common than "significant at the 5% level" would suggestBy walking through colorful examples of statistics gone awry, the book offers approachable lessons on proper methodology, and each chapter ends with pro tips for practicing scientists and statisticians. No matter what your level of experience, "Statistics Done Wrong" will teach you how to be a better analyst, data scientist, or researcher.

    But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many analysts either cower in fear or predict an impossibly sunny future.But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.When AI is framed as cheap prediction, its extraordinary potential becomes clear: Prediction is at the heart of making decisions under uncertainty. Our businesses and personal lives are riddled with such decisions. Prediction tools increase productivity--operating machines, handling documents, communicating with customers. Uncertainty constrains strategy. Better prediction creates opportunities for new business structures and strategies to compete. Penetrating, fun, and always insightful and practical, Prediction Machines follows its inescapable logic to explain how to navigate the changes on the horizon. The impact of AI will be profound, but the economic framework for understanding it is surprisingly simple.

    The book brings value to both students and teachers/lecturers. It explores the basics of comprehension and memorization and shows effective applications of memory in learning. Some of the topics covered are: How to master the art of effective note taking; how to become avidly interested in any subject matter; how to get a mental second wind; and how to get physically conditioned for effective study. Written by Indiana University Professor of Psychology Harry D. Kitson in 1921 (Second Edition), "How to Use Your Mind" is today still as contemporary as it was then.

    Darrell Huff runs the gamut of every popularly used type of statistic, probes such things as the sample study, the tabulation method, the interview technique, or the way the results are derived from the figures, and points up the countless number of dodges which are used to fool rather than to inform.

    Each of the Enneagram's nine types has a distinct worldview which determines how they think, what they want, and why they act the way they do. You'll recognize the personality types of the people you work with---colleagues, clients, bosses---as well as your own. And you'll discover the most effective ways to work with these people: The Perfectionist gets things done right---regardless of the consequences. The Helper nurtures others' careers---and demands to be appreciated for it. The Producer works hard to succeed---but can burn out in overwork. The Connoisseur explores his or her creativity and deep feelings---but may get lost in them. The Sage craves data, theories and insight---but may forget the human element The Troubleshooter knows the secrets and who can be trusted---but can get mighty paranoid. The Visionary inspires with brilliant, fun, imaginative ideas---but leaves closure to others. The Top Dog exercises leadership---but may end up as a vengeful bully. The Mediator wants everybody working as a conflict-free team---but may forget his or her own goals.Drawing on twenty-five years of teaching and consulting, Michael Goldberg's rich descriptions catch the "aha!" of each style with insightful anecdotes and real-life stories. He shows how each style is likely to connect with or miss the others, what kind of leadership is right for certain situations, and how each style makes important decisions and gets work done. You'll see the special gifts and talents of each style, their limits and blind spots, and when they will shine and when they will wilt. The 9 Ways of Working is packed with practical tips and cautions for each style and for working with each style.

    The book assumes no prior knowledge, taking the student through every stage of their research project in manageable steps. Advice on planning and conducting studies, analyzing data, and writing up practical reports is given, and examples are provided, as well as advice on how to report results in conventional (APA) style. Unlike other introductory texts, there is practical guidance on qualitative research, as well as discussion of issues of bias, interpretation, and variance. Content on qualitative methods has been expanded for the fifth edition and now includes additional material on widely used methods, such as grounded theory, thematic analysis, interpretive phenomenological analysis (IPA), and discourse analysis. The book provides clear coverage of statistical procedures, and includes everything needed at an undergraduate level from nominal level tests, to multi-factorial ANOVA designs, multiple regression, and log linear analysis. In addition, the book provides detailed and illustrated SPSS textbook. Each chapter contains a self-test glossary, key terms, and exercises, ensuring that key concepts have been understood. Students are further supported. Students are further supported by an accompanying website that provides additional exercises, revision flash cards, links to further reading, and data for use with SPSS. The website will also include updated coverage of SPSS should a new version be launched. The bestselling research methods text for over a decade, Research Methods and Statistics in Psychology remains an invaluable resource for students of psychology throughout their studies.

    With 12 chapters and 1,244 practice problems, students can build fundamental skills in math and verbal through targeted practice. Plus, through easy-to-follow explanations and step-by-step applications, each question will help students cement their understanding of those concepts tested on the GRE. Purchase of this book includes access to additional online resources.

    The book covers habituation, classical conditioning, instrumental conditioning, stimulus control, aversive control, and their applications to the study of cognition and to the alleviation of behavior problems. Biological constraints on learning are integrated throughout the text, as are applications boxes that relate animal research to human learning and behavior. The book closely reflects the field of research it represents in terms of topics covered, theories discussed, and experimental paradigms described.