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Statistics for Business and Economics, by David R. Anderson, Dennis J. Sweeney, Thomas A. Williams
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Discover how the most trusted approach to statistics today is Simply Powerful with the latest market-leading text from respected authors Anderson/Sweeney/Williams. STATISTICS FOR BUSINESS AND ECONOMICS, 11e introduces sound statistical methodology within a strong applications setting. The authors clearly demonstrate how statistical results provide insights into business decisions and present solutions to contemporary business problems. New cases and more than 350 real business examples and memorable exercises, 150 of which are new in this edition, present the latest statistical data and business information. With this book's comprehensive coverage and unwavering accuracy, you select the topics best for your course, including thorough coverage of the latest versions of MiniTab 15 and Excel 2007, along with StatTools and other leading Excel 2007 statistical add-ins within chapter appendices. Author-written support materials and CengageNOW online course management system provides time-saving, complete support to ensure student understanding. Choose Anderson/Sweeney/Williams' STATISTICS FOR BUSINESS AND ECONOMICS, 11e for the Simply Powerful statistical solution you need for your course.
- Sales Rank: #216290 in Books
- Brand: Brand:
- Published on: 2010-01-01
- Original language: English
- Number of items: 1
- Dimensions: 1.70" h x 8.00" w x 10.10" l, 4.50 pounds
- Binding: Hardcover
- 1080 pages
- Used Book in Good Condition
About the Author
Dr. David R. Anderson is a textbook author and Professor Emeritus of Quantitative Analysis in the College of Business Administration at the University of Cincinnati. He has served as head of the Department of Quantitative Analysis and Operations Management and as Associate Dean of the College of Business Administration. He was also coordinator of the College's first Executive Program. In addition to 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 received numerous honors for excellence in teaching and service to student organizations. He is the coauthor of ten textbooks related to decision sciences and actively consults with businesses in the areas of sampling and statistical methods. Born in Grand Forks, North Dakota, he earned his BS, MS, and PhD degrees from Purdue University.
Dr. Dennis J. Sweeney is a textbook author, Professor Emeritus of Quantitative Analysis and founder of the Center for Productivity Improvement at the University of Cincinnati. He also served five years as head of the Department of Quantitative Analysis and four years as Associate Dean of the College of Business Administration. In addition, he has worked in the management science group at Procter & Gamble and has been a visiting professor at Duke University. Professor Sweeney has published more than 30 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. Dr. Sweeney is the coauthor of ten textbooks in the areas of statistics, management science, linear programming, and production and operations management. Born in Des Moines, Iowa, he earned a BS degree from Drake University, graduating summa cum laude. He received his MBA and DBA degrees from Indiana University, where he was an NDEA Fellow.
Dr. Thomas A. Williams is Professor of Management Science in the College of Business at Rochester Institute of Technology where he was the first chairman of the Decision Sciences Department. He teaches courses in management science and statistics, as well as graduate courses in regression and decision analysis. 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 undergraduate program in Information Systems and then served as its coordinator. The co-author of 11 leading textbooks in the areas of management science, statistics, production and operations management, and mathematics, Professor Williams has been a consultant for numerous Fortune 500 companies and has worked on projects ranging from the use of data analysis to the development of large-scale regression models. He earned his B.S. degree at Clarkson University and completed his graduate work at Rensselaer Polytechnic Institute, where he received his M.S. and Ph.D. degrees.
Most helpful customer reviews
10 of 11 people found the following review helpful.
Very hard to read
By LauraShad
I know statistics is a very hard subject on it's own, but this textbook is very difficult to read, and has very few decent examples. I feel that i have had to turn to YouTube and other sites more during this course than any I've had before simply due to the text. I am an "A" average student, but I do not feel that i could stay on that course if I relied on this book alone for my current Quantitative Management course. I know some classes require this book, but if a choice is given, I'd look for other options.
6 of 6 people found the following review helpful.
What an awful, awful stats book
By Jason Sullivan
I've taken another stats course before this one (granted, it was only an Elementary Statistics class, but much of the material was the exact same-there are only so many ways to do probability distribution and Z-tables) and I can't say enough bad things about this book. Awful examples, overly technical explanations and as dry as eating desert sand. If you're forced to use this book, I hope you have an amazing teacher or some other resources available to you, because this book will make you hate what can otherwise be a somewhat interesting subject. Seriously, if you have ANY other option, take it. 1 star is too many, but Amazon doesn't let me select 0 or 1/2.
3 of 4 people found the following review helpful.
there are very good alternatives to this book
By eagle60s
This text is well done, but you might check out Understanding Business Statistics by Ned Freed at [...] . In my opinion, it is better written, has better coverage and, possibly best of all, it only costs $39.95.
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