Product Description

With Anderson/Sweeney/Williams' market-leading STATISTICS FOR BUSINESS AND ECONOMICS, 10e, you'll learn much more than simply how to solve statistical equations. You'll discover how statistical results provide insights into business decisions and present solutions to business problems. Numerous actual examples, proven methods, and application exercises provide practical clarity to even complex concepts, while self-testing exercises allow you to assess your personal understanding. Maximize your study time and efficiently complete homework with this edition's innovative CengageNOW online learning system that creates a personalized study plan focusing on the statistical concepts you still need to master. A useful CD-ROM, available at no extra cost with each new text, provides data files to help you master key statistical software for success in today's classroom and tomorrow's business world.

Product Details

• Amazon Sales Rank: #9611 in Books
• Published on: 2007-01-03
• Original language: English
• Number of items: 1
• Binding: Hardcover
• 1056 pages

Review
"The textbook is very user-friendly (easy to read). The text has very good and useful real world problems. The computer applications using Microsoft Excel are a must for any business statistics course."

"Engaging examples and the relevant questions at the end of chapters. Clear and understandable. Intiutive explanations."

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 BS, MS, and PhD 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 BS and BA degrees from Drake University, graduating summa cum laude. He received his MBA and DBA 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 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. 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 BS degree at Clarkson University. He completed his graduate work at Rensselaer Polytechnic Institute, where he received his MS and PhD 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.

Customer Reviews

Best text of first year MBA
Statistics is a mind-numbing subject. It's not easy, and not particularly exciting, either. This book doesn't exactly bring loads of fun to the subject, but it explains concepts well, provides pertinent examples, and offers plenty of useful practice problems.

The authors and publishers have paid particularly close attention to detail, ensuring, for instance, that all diagrams are on the same page as the concepts they elucidate. This may be a small thing to some, but I find it tiresome that with so many texts you are forced continually to flip back and forth from diagrams on one page to pertinent information on another.

I have a background in the Humanities and before the MBA stats course had not completed a math course since high school -- 20 years ago! (48th percentile quant GMAT!) My head was swimming after the first couple of lectures, but I sat down with this text, read it carefully, worked through ALL the problems, and received an A in the course. So far, I know of no other person that earned a full A, so the course was not a walk in the park. I believe that the one thing that differentiated me from the more capable quant jocks is that I spent plenty of quality time with the text.

If this is your textbook, you've got a good one. Use it well and good luck.

BTW, my one complaint is that the shiny paper reflects into your eyes under fluorescent lighting. Too bad almost all publishers, including this one, feel compelled to go with the glossy paper.

Not the best book on the subject and the price......
I teach Stats 201 (Introduction to Business Statistics) and for years I used the textbook by Wiers, which I feel is the best in it's field. After numerous obsrvations by my colleagues in the department, we hope that will be going back to the previous author's book after the current stock of this one runs out.

I find this book to be confusing, and it tends to jump around a lot rather than give a structured look at the process of learning Statistics. It pays little or no attention to the use of random numbers and the terminology is confusing.

Perhaps the biggest drawback with this book is the price- almost 150 bucks for a textbook is outrageous. Buy the previous edition used- the difference is minimal, the price difference is significant. Better still- buy the book on the same subject by Wiers. Don't just take my word- compare the two....it's just my opinion.

A Very Helpful Book
This is a definately worthwhile learning tool which can aid anyone who is attempting to tackle statistics for the first time. The methods and theories are concise, direct, and most of all, clearly stated. The authors bring you step by step through each procedure and then offer exercises to demonstrate the process while giving you the confidence to go on.

This book was puchased midway through the semester. At that time I was struggling to maintain a C average. With the help of this book I was able to close the semester with an 89% average.