Second edition of a popular introductory textbook, combining breadth of coverage, practical examples, and student-friendly features Includes new sections on metaphor, framing, stance and style, multimodal discourse, and Gricean pragmatics Considers a variety of approaches to the subject, including critical discourse analysis, conversation analysis, interactional and variationist sociolinguistics, ethnography, corpus linguistics, and other qualitative and quantitative methods Features detailed descriptions of the results of discourse analysts' work Retains and expands the useful student features, including discussion questions, exercises, and ideas for small research projects.

    It emphasizes the ways in which the study of sedimentary rocks is used to interpret depositional environments, changes in ancient sea level, and other intriguing aspects of Earth’s history.

    This book has two underlying themes that are more or less independent of the statistical hypothesis tests that are the main content of the book. The first theme is the importance of looking at the data before formulating a hypothesis. With this in mind, the author discusses, in detail, plotting data, looking for outliers, and checking assumptions (Graphical displays are used extensively). The second theme is the importance of the relationship between the statistical test to be employed and the theoretical questions being posed by the experiment. To emphasize this relationship, the author uses real examples to help the student understand the purpose behind the experiment and the predictions made by the theory. Although this book is designed for students at the intermediate level or above, it does not assume that students have had either a previous course in statistics or a course in math beyond high-school algebra.

    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.

    With this book in hand, thousands of students have watched the story of art unfold in its full historical, social, religious, economic, and cultural context, and thus deepened their understanding of art, architecture, painting, and sculpture. By virtue of its comprehensive coverage, strong emphasis on context, and rich, accurate art reproductions, GARDNER'S ART THROUGH THE AGES has earned and sustained a reputation of excellence and authority. So much so, that in 2001, the Text and Academic Authors Association awarded both the McGuffey and the "Texty" Book Prizes to the Eleventh Edition of the text. It is the first art history book to win either award and the only title ever to win both prizes in one year. The Twelfth Edition maintains and exceeds the richness of the Gardner legacy with updated research and scholarship and an even more beautiful art program featuring more color images than any other art history book available. The Twelfth Edition features such enhancements as more color photographs, a stunning new design, and the most current research and scholarship. What's more, the expanded ancillary package that accompanies GARDNER'S ART THROUGH THE AGES, features a wealth of tools to enhance your students' experience in the course. With each new copy of the book, students receive a copy of the ArtStudy 2.0 CD-ROM--an interactive electronic study aid that fully integrates with the Twelfth Edition and includes hundreds of high-quality digital images, plus maps, quizzes, and more.

    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.

    Luenberger, known for his ability to make complex ideas simple, presents essential ideas of investments and their applications, offering students the most comprehensive treatment of the subject available.

    Explaining how, why, and when the techniques can be expected to work, the Seventh Edition places an even greater emphasis on building readers' intuition to help them understand why the techniques presented work in general, and why, in some situations, they fail. Applied problems from diverse areas, such as engineering and physical, computer, and biological sciences, are provided so readers can understand how numerical methods are used in real-life situations. The Seventh Edition has been updated and now addresses the evolving use of technology, incorporating it whenever appropriate.

    People both inside and outside the business all depend on a bookkeeper's accurate recordings. Bookkeeping For Dummies provides the easy and painless way to master this crucial art. You'll be able to manage your own finances to save money and grow your business. This straightforward, no-nonsense guide shows you the basics of bookkeeping--from recording transactions to producing balance sheets and year-end reports. Discover how to:Outline your financial road map with a chart of accounts Keep journals of cash transactions Set up your computerized books Control your books, your records, and your money Buy and track your purchases Record sales returns and allowances Determine your employee [is "employee" necessary here?] staff's net pay Maintain employee records Prepare your books for year's end Report results and start over Produce an income statement Complete year-end payroll and reports This guide features tips and tricks for managing your business cash with your books and also profiles important accounts for any bookkeeper. There's no question that bookkeepers must be detail-oriented, meticulous, and accurate. Bookkeeping For Dummies shows you how to keep track of your business's financial well-being and ensure future success!

    Integrated central case studies woven throughout each chapter, use real-life stories to give you a tangible and engaging framework around which to learn and understand the science behind environmental issues. Printed on FSC (Forest Stewardship Council) certified paper, the newly revised Fourth Edition engages you through the addition of new EnvisionIt photo essays.

    Grounded in the latest knowledge and filled with illustrative examples from diverse institutions, as well as helpful reflection questions, the book's guidance can be put to immediate use. In addition, the authors suggest ways of avoiding common pitfalls and address what to do when faced with budget fluctuations and changing fiscal environments."This book is vitally important for understanding the complex financial underpinnings of higher education. Could there be a more critical time for administrators to add to their knowledge in this area? I don't think so." --EUGENE S. SUNSHINE, senior vice president for business and finance, Northwestern University"The authors have produced an easily readable and valuable resource for board members, administrators, students, faculty, or anyone interested in knowing about budgeting and the budgeting process. Their treatment of the subject is thorough and complete." --LARRY H. DIETZ, vice chancellor for student affairs, Southern Illinois University, Carbondale"This is the best 'nitty-gritty-how-to' book on university budgeting that I have found. My graduate students at both the master's and doctoral levels have found it to be a comprehensive, insightful, and useful tool in their graduate studies." --LINDA KUK, program chair, Higher Education Graduate Programs, and associate professor of education, Colorado State University

    Theoretical, yet applied. Statistics for Business and Economics, Eleventh Edition, gives you the best of both worlds. Using a rich array of applications from a variety of industries, McClave/Sincich/Benson clearly demonstrates how to use statistics effectively in a business environment.The book focuses on developing statistical thinking so the reader can better assess the credibility and value of inferences made from data. As consumers and future producers of statistical inferences, readers are introduced to a wide variety of data collection and analysis techniques to help them evaluate data and make informed business decisions. As with previous editions, this revision offers an abundance of applications with many new and updated exercises that draw on real business situations and recent economic events. The authors assume a background of basic algebra.

    Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor.

    This book is the most engaging, focused and applied HRM text on the market.

    Her writing style and consistent use of examples and case studies results in a text that undergraduates students will find easy to understand.