This edition provides updated coverage of events such as the September 11th terrorist attacks and their effect on insurance, the Economic Growth and Tax Relief Reconciliation Act of 2001 and the President's Commission on Social Security.

    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.

    Senator S. I. Hayakawa discusses the role of language in human life, the many functions of language, and how language—sometimes without our knowing—shapes our thinking in this engaging and highly respected book. Provocative and erudite, it examines the relationship between language and racial and religious prejudice; the nature and dangers of advertising from a linguistic point of view; and, in an additional chapter called “The Empty Eye,” the content, form, and hidden message of television, from situation comedies to news coverage to political advertising.

    This innovation advantage will translate into a premium in your company’s stock price—an innovation premium—which is possible only by building the code for innovation right into your organization’s people, processes, and guiding philosophies.Practical and provocative, The Innovator’s DNA is an essential resource for individuals and teams who want to strengthen their innovative prowess.

    This internationally recognized standard provides the essential tools to practice project management and deliver organizational results.

    Unlike other books, Schilling's approach synthesizes the major research in the field, providing students with the knowledge needed to enhance case discussion and analysis. The subject is approached as a strategic process, and as such, is organized to mirror the strategic management process used in most strategy textbooks, progressing from assessing the competitive dynamics of a situation, to strategy formulation, to strategy implementation. As a brief, affordable paperback, it is ideal to package with cases. Recommended case sets from the author are available through the Primis Custom Case Database or from the Harvard Business School Case Database.

    This text discusses and explains the traditional, functional approach to management, through planning, organising, leading and controlling.

    A superbly practical book that explains what established businesses, public survey institutions, and new yentures have to know, have to learn, and have to do in today' s economy and marketplace.

    This entertaining guide builds on scores of case studies taken from business, sports, the movies, politics, and gambling. It outlines the basics of good strategy making and then shows how you can apply them in any area of your life.

    Wheelen and Hunger takes a unique approach to helping students synthesize all of the factors of the strategic process through a student friendly Strategic Management Model.

    It introduces marketing from the perspective of real people making real marketing decisions at leading companies "every day. "Learners will come to understand that marketing is about "creating value"-for customers, for companies, and for society as a whole-and they will see how that is accomplished in the real world. A five-part organization covers making marketing value decisions, identifying markets and understanding customers' needs for value, creating the value proposition, communicating the value proposition, and delivering the value proposition. For individuals interested in a career in marketing.

    Problem-sets build both foundational and advanced skills. Includes online access to simulated practice exams and bonus bank of Sentence Correction questions. Includes most up-to-date test information.

    Fundamentals of Financial Management is the route to understanding the financial decision-making process and to interpreting the impacts that financial decisions have on value creation. Ideal for those new to financial management, this sparklingly clear text cuts through the mire of the financial decision-making process. A practical and reliable book, free from technical errors, backed up by a wealth of award-winning support material.

    But if you're like many people, you may find interpreting and writing about cases mystifying, challenging, or downright frustrating. In "The Case Study Handbook", William Ellet presents a potent new approach for analyzing, discussing, and writing about cases. Early chapters show how to classify cases according to the analytical task they require (solving a problem, making a decision, or forming an evaluation) and quickly establish a base of knowledge about a case. Strategies and templates, in addition to several sample Harvard Business School cases, help you apply the author's framework. Later in the book, Ellet shows how to write persuasive case-analytical essays based on the process laid out earlier. Extensive examples of effective and ineffective writing further reinforce your learning. The book also includes a chapter on how to talk about cases more effectively in class. Any current or prospective MBA or executive education student needs to read this book.

    Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data.Each chapter will cover a different technique in a spreadsheet so you can follow along: - Mathematical optimization, including non-linear programming and genetic algorithms- Clustering via k-means, spherical k-means, and graph modularity- Data mining in graphs, such as outlier detection- Supervised AI through logistic regression, ensemble models, and bag-of-words models- Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation- Moving from spreadsheets into the R programming languageYou get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.