This comprehensive introduction to business statistics text balances a conceptual understanding of statistics with the real-world application of statistical methodology. The latest version of Microsoft Excel is integrated throughout the text, showing step-by-step instructions and screen captures to enhance student learning. The authors have been writing market-leading business statistics textbooks for over 20 years, and this new edition contains the same student learning features that have made ASW products best sellers for more than two decades.
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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 the Associate Dean of the College of Business Administration. In addition, he was the coordinator of the College's first Executive Program. At the University of Cincinnati, Professor Anderson has taught introductory statistics for business students as well as graduate level courses in regression analysis, multivariate analysis, and management science. He has also taught statistical courses at the Department of Labor in Washington D.C. He has been honored with nominations and awards for excellence in teaching and excellence in service to student organizations. Professor Anderson has co-authored eleven textbooks in the areas of statistics, management science, linear programming, and production and operations management. He is an active consultant in the field 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 a B.S.B.A. degree 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. During 1978-79, he spent a year working in the management science group at Procter & Gamble; during 1981-82, he was a visiting professor at Duke University. Professor Sweeney served 5 years as Head of the Department of Quantitative Analysis and 4 years as Associate Dean of the College of Business Administration at the University of Cincinnati. Professor Sweeney has published over 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 eleven 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. Born in Elmira, New York, he earned his B.S. degree at Clarkson University. He did 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 7 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. At RIT he was the first chairman of the Decision Sciences Department. Professor Williams is the co-author of twelve textbooks in the areas of management science, statistics, production and operations management, and mathematics. He has been a consultant for numerous Fortune 500 companies and has worked on projects ranging from the use of elementary data analysis to the development of large-scale regression models. --This text refers to an alternate Hardcover edition.
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 a B.S.B.A. degree 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. During 1978-79, he spent a year working in the management science group at Procter & Gamble; during 1981-82, he was a visiting professor at Duke University. Professor Sweeney served 5 years as Head of the Department of Quantitative Analysis and 4 years as Associate Dean of the College of Business Administration at the University of Cincinnati. Professor Sweeney has published over 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 eleven 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. Born in Elmira, New York, he earned his B.S. degree at Clarkson University. He did 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 7 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. At RIT he was the first chairman of the Decision Sciences Department. Professor Williams is the co-author of twelve textbooks in the areas of management science, statistics, production and operations management, and mathematics. He has been a consultant for numerous Fortune 500 companies and has worked on projects ranging from the use of elementary data analysis to the development of large-scale regression models. --This text refers to an alternate Hardcover edition.
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Most Helpful Customer Reviews
19 of 20 people found the following review helpful:
5.0 out of 5 stars
The best intermediate to advanced statistics textbook,
By Michael Emmett Brady "mandmbrady" (Bellflower, California ,United States) - See all my reviews (VINE VOICE) (REAL NAME)
This review is from: Modern Business Statistics with Microsoft® Excel (Hardcover)
This textbook is the best intermediate to advanced statistics textbook currently available on the market today.The Excel instructions are self explanatory and include every step needed to apply a particular statistical procedure.The instructions for calculating joint probability tables and constructing tree diagrams are excellent and easy to follow.The example problems include all the steps.The notation used is simple,direct and straightforward.It will not cause any confusion for a student.The handling of p-values in hypothesis testing and multiple regression analysis is very well done.Based on my extensive teaching experience at the college and university level,I would highly recommend this book to a student, who is taking a statistics course that emphasizes applications, at the intermediate to advanced level.
3 of 3 people found the following review helpful:
5.0 out of 5 stars
Undisputed Champion,
By
This review is from: Modern Business Statistics (with Student CD-ROM) (Hardcover)
I teach statistics, finance, accounting and math in a computer lab using Excel for 100% of the calculations. This book is the undisputed champion when it comes to teaching the subject matter perfectly integrated with Excel. I just wish that there was accounting, math and finance books that were as good as this book.
The problem is that there are only 5 stars here, when the book deserves 10: ********** (10 stars) These guys: David Ray Anderson, Dennis J. Sweeney, Thomas Arthur Williams should be given the highest award for teaching. They also should be recognized by Microsoft as Excel MVPs. All of this high praise comes because of one fact: In the working world every field uses Excel. In academia, few classes actually teach what is done in the working world.
3 of 4 people found the following review helpful:
5.0 out of 5 stars
good explaination in the book,
By Ordinary Customer (Joplin , MO) - See all my reviews
This review is from: Modern Business Statistics with Microsoft® Excel (Hardcover)
each chapter is well written, not dry to read, easy to understand. although they should probably write a new version using office 2007 excel.
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