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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: Contributor(s): Material type: TextPublisher: Boston, MA : Cengage Learning, ©2016Edition: Thirteenth editionDescription: xxii, 914 pages : illustrations (chiefly colour) ; 26 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781285866314 (hardback)
Subject(s): 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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Holdings
Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Reserve GSU Library Epoch Reserve General Collection T56 AND (Browse shelf(Opens below)) 1 Available 50000007020

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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