Features
- Cover Type: Hard Cover with 656 pages
- Published by: South-Western College Pub
- Edition: 5th Edition January 3, 2008
- Written in: English
- ISBN 10 Number: 0324568606
- ISBN 13 Number: 978-0324568608
-
Book Dimensions:
10.1 x 7.9 x 1.1 inches
- Weighs: 3 pounds
Product Description
Trust the latest version of this market-leading essentials text to introduce sound statistical methodology in a proven applications setting. ESSENTIALS OF STATISTICS FOR BUSINESS AND ECONOMICS, 5e, includes all of the strengths of the longer best-selling Anderson/Sweeney/Williams STATISTICS FOR BUSINESS AND ECONOMICS, with a focus on the most important core topics for a concise presentation that's easy for students to follow. This brief introduction to business statistics offers a wealth of actual business examples, proven methods, and application exercises that clearly demonstrate how statistical results provide insights into business decisions and present solutions to contemporary business problems. High-quality problems, trusted for their unwavering accuracy, and the authors' signature problem-scenario approach clearly show how to apply statistical methods in practical business situations. New case problems as well as methods, applications, and self-test exercises encourage students to master formulas, apply materials, and evaluate their personal understanding. Optional updated appendices highlight the latest Excel® 2007 and Minitab® 15 popular commercial software, giving you the choice of integrating or omitting computer coverage in your course. This edition's concise approach and comprehensive support package, now including CengageNOW course management system, provides everything you need for an effective statistics course that prepares students for the essentials of statistics success in business today.
About The Author
David R. Anderson is Professor of Quantitative Analysis in the College of Business Administration at the University of Cincinnati. Born in Grand Forks, North Dakota, he earned his B.S., M.S., and Ph.D. degrees from
Purdue University. Professor Anderson has served as Head of the Department of Quantitative Analysis and Operations Management and as Associate Dean of the College of Business Administration. In addition, he was the coordinator of the College’s first Executive Program. In addition to teaching introductory statistics for business students, Dr. Anderson has taught graduate-level courses in regression analysis, multivariate analysis, and management science. He also has taught statistical courses at the Department of Labor in Washington, D.C. Professor Anderson has been honored with nominations and awards for excellence in teaching and excellence in service to student organizations. He has coauthored ten textbooks related to decision sciences and actively consults with businesses in the areas of sampling and statistical methods.
Dennis J. Sweeney is Professor of Quantitative Analysis and founder of the Center for Productivity Improvement at the University of Cincinnati. Born in Des Moines, Iowa, he earned B.S. and B.A. degrees from Drake University, graduating summa cum laude. He received his M.B.A. and D.B.A. degrees from Indiana University, where he was an NDEA Fellow. Dr. Sweeney has worked in the management science group at Procter & Gamble and has been a visiting professor at
Duke University. Professor Sweeney served five years as Head of the Department of Quantitative Analysis and four years as Associate Dean of the College of Business Administration at the University of Cincinnati. He has published more than thirty articles in the area of management science and statistics. The National Science Foundation, IBM, Procter & Gamble, Federated Department Stores, Kroger, and Cincinnati Gas & Electric have funded his research, which has been published in MANAGEMENT SCIENCE, OPERATIONS RESEARCH, MATHEMATICAL PROGRAMMING, DECISION SCIENCES, and other journals. Professor Sweeney has coauthored ten textbooks in the areas of statistics, management science, linear programming, and production and operations management.
Thomas A. Williams is Professor of Management Science in the College of Business at Rochester Institute of Technology (RIT). Born in Elmira, New York, he earned his B.S. degree at Clarkson University. He completed his graduate work at Rensselaer Polytechnic Institute, where he received his M.S. and Ph.D. degrees. Before joining the College of Business at RIT, Professor Williams served for seven years as a faculty member in the College of Business Administration at the University of Cincinnati, where he developed the first undergraduate program in Information Systems. At RIT he was the first chair of the Decision Sciences Department. Professor Williams is the coauthor of 11 textbooks in the areas of management science, statistics, production and operations management, and mathematics. He has been a consultant for numerous Fortune 500 companies in areas ranging from the use of elementary data analysis to the development of large-scale regression models.
Reader ReviewsGreat Textbook (I need this book for a class). Some of the explanations could have been a bit nore straight-forward. Overall a great text book. It even assits the student with using Excel.
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