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Workbook to accompany Statistics for Business and Economics
 
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Workbook to accompany Statistics for Business and Economics [Paperback]

David R. Anderson (Author), Dennis J. Sweeney (Author), Thomas A. Williams (Author)


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Book Description

January 7, 2004
Prepared by Mohammad Ahmadi of the University of Tennessee-Chattanooga, the Work Book will provide the student with significant supplementary study materials. It contains an outline and review, and list of formulas for each text chapter, sample exercises with step-by-step solutions, exercises with answers, and a series of self-testing questions with answers.

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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.

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.

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. Professor Sweeney has coauthored eleven textbooks in the areas of statistics, management science, linear programming, and production and operations management.

Product Details

  • Paperback: 720 pages
  • Publisher: South-Western College Pub; 9 edition (January 7, 2004)
  • Language: English
  • ISBN-10: 0324200862
  • ISBN-13: 978-0324200867
  • Product Dimensions: 10.7 x 8.5 x 1.5 inches
  • Shipping Weight: 3.6 pounds
  • Amazon Best Sellers Rank: #1,724,194 in Books (See Top 100 in Books)

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