Quantitative Methods for Business (with Crystal Ball Pro 2000 v7.1, CD-ROM, and InfoTrac) (Available Titles CengageNOW) - Hardcover

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

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9780324312652: Quantitative Methods for Business (with Crystal Ball Pro 2000 v7.1, CD-ROM, and InfoTrac) (Available Titles CengageNOW)

Hardcover

ISBN 10: 0324312652 ISBN 13: 9780324312652

Publisher: South-Western College Pub, 2005

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This revision of QUANTITATIVE METHODS FOR BUSINESS provides students with a conceptual understanding of the role that quantitative methods play in the decision-making process. This text describes the many quantitative methods that have been developed over the years, explains how they work, and shows how the decision-maker can apply and interpret data. Written with the non-mathematician in mind, this text is applications-oriented. Its "Problem-Scenario Approach" motivates and helps students understand and apply mathematical concepts and techniques. In addition, the managerial orientation motivates students by using examples that illustrate situations in which quantitative methods are useful in decision making.

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About the Author:

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.

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