Quantitative Methods for Business

This revision of the classic Quantitative Methods for Business provides readers 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 the reader to understand and apply mathematical concepts and techniques. In addition, the managerial orientation uses examples that illustrate situations in which quantitative methods are useful in decision making.

David R. Anderson is Professor of Quantitative Analysis in the College of Business Administration at the University of Cincinnati Dennis J. Sweeney is Professor of Quantitative Analysis and Director of the Center for Productivity Improvement at the University of Cincinnati Thomas A. Williams is Professor of Management Science in the College of Business at Rochester Institute of Technology