Quantitative methods for business / David R. Anderson, University of Cincinnati; Dennis J. Sweeney, University of Cincinnati; Thomas A. Williams, Rochester Institute of Technology; Jeffrey D. Camm, University of Cincinnati; James J. Cochran, University of Alabama; Michael J. Fry, University of Cincinnati; Jeffrey W. Ohlmann, University of Iowa.

By:

Anderson, David R. David Ray, 1941- [author.]

Contributor(s):

Material type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9781285866314 (hardback)

Subject(s):

Management science -- Textbooks

LOC classification:

T56 AND

Summary: 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.

Item type:

Reserve

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	Reserve	GSU Library Epoch Reserve		General Collection		T56 AND (Browse shelf(Opens below))				1	Available			50000007020

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Includes bibliographical references (pages 844-845) and index.

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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