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Contemporary Business Statistics with Microsoft Excel - Study Guide

Contemporary Business Statistics with Microsoft Excel - Study Guide - 01 edition

ISBN13: 978-0324020885

Cover of Contemporary Business Statistics with Microsoft Excel - Study Guide 01 (ISBN 978-0324020885)
ISBN13: 978-0324020885
ISBN10: 0324020880
Cover type:
Edition: 01
Copyright: 2001
Publisher: South-Western Publishing Co.
Published: 2001
International: No

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Contemporary Business Statistics with Microsoft Excel - Study Guide - 01 edition

ISBN13: 978-0324020885

David R. Anderson, Dennis J. Sweeney and Thomas A. Williams

ISBN13: 978-0324020885
ISBN10: 0324020880
Cover type:
Edition: 01
Copyright: 2001
Publisher: South-Western Publishing Co.
Published: 2001
International: No
Summary

This study guide provides the student with significant supplementary study materials. It contains an outline, review and list of formulas each text chapter, sample exercises with step-by-step solutions, exercises with answers, and a series of self-testing questions with answers. The Study Guide may be purchased at a special price when bundled with the textbook.

Author Bio

Anderson, David R. : University of Cincinnati Main Campus

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 eight 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.

Sweeney, Dennis J. : University of Cincinnati Main Campus

Dennis J. Sweeney is Professor of Quantitative Analysis and Director 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 eight textbooks in the areas of statistics, management science, linear programming, and production and operations management.

Williams, Thomas A. : Rochester Institute of Technology

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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