Quantitative Analysis for Management, Global Edition

Render, Barry; Stair, Ralph M.; Hanna, Michael E.

ISBN 10: 129205932X / ISBN 13: 9781292059327

Published by Pearson (edition 12), 2014

About this Item

It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. International edition.

Seller Inventory # 129205932X-11-1-7

Bibliographic Details

• Title: Quantitative Analysis for Management, Global Edition
• Publisher: Pearson (edition 12)
• Publication Date: 2014
• Language: English
• ISBN 10: 129205932X
• ISBN 13: 9781292059327
• Binding: Paperback
• Edition: 12.
• Condition: Very Good

About this title

Synopsis

For courses in Management Science or Decision Modeling

A solid foundation in quantitative methods and management science

 

This popular text gives students a genuine foundation in business analytics, quantitative methods, and management science—and how to apply the concepts and techniques in the real world—through a strong emphasis on model building, computer applications, and examples. The authors’ approach presents mathematical models, with all of the necessary assumptions, in clear, plain English, and then applies the ensuing solution procedures to example problems along with step-by-step, how-to instructions. In instances in which the mathematical computations are intricate, the details are presented in a manner that ensures flexibility, allowing instructors to omit these sections without interrupting the flow of the material. The use of computer software enables the instructor to focus on the managerial problem and spend less time on the details of the algorithms. Computer output is provided for many examples throughout the text.

 

Teaching and Learning Experience

This text provides a solid foundation in quantitative methods and management science. Here’s how:

• Students see clearly how concepts and techniques are used in real organizations.
• Outstanding in-text features provide reinforcement and ensure understanding.
• The text’s use of software allows instructors to focus on the managerial problem, while spending less time on the mathematical details of the algorithms.