One of the best-selling business statistics text on the market, ASW blends concepts, techniques and applications to strike a balance between a conceptual understanding of statistics and the real-world application of statistical methodology. Uses problem-scenario business examples to introduce techniques (over 200 examples use real companies). Chapters open with Statistics in Practice applications from the business world. Problem sets are divided into Methods, Applications, and Self-Test Exercises and includes hundreds of problems based on real data and/or quality-based examples. Unique Notes and Comments sections give students additional insights about statistical methodology and helpful hints on how to avoid common statistical mistakes. This text can be computer integrated at the discretion of the instructor. Output for analysis, based on Minitab, is included throughout the text where appropriate. Instruction for data analysis based on Excel and Minitab is included in appendices of appropriate chapters. Computer cases are also provided at the end of appropriate chapters, with data sets available on disk in Minitab, Excel, and Data Analyst formats.
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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.
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. He teaches courses in management science and statistics, as well as more advanced courses in regression and decision analysis. Professor Williams is the co-author of nine 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.
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Book Description South-Western College Pub. Hardcover. Book Condition: New. 0314063781 Ships promptly. Bookseller Inventory # Z0314063781ZN
Book Description South-Western College Pub, 1996. Hardcover. Book Condition: New. book. Bookseller Inventory # M0314063781
Book Description South-Western College Pub, 1996. Hardcover. Book Condition: New. Never used!. Bookseller Inventory # P110314063781