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Quantitative Methods for Business

By David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann

13th Edition © 2016
Discipline:Decision Sciences
Course:Management Science
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Written with the non-mathematician in mind, QUANTITATIVE METHODS FOR BUSINESS, 13E by award-winning authors Anderson, Sweeney, Williams, Camm, Cochran, Fry, and Ohlmann equips your students with a strong conceptual understanding of the critical role that quantitative methods play in today's decision-making process. This applications-oriented text clearly introduces current quantitative methods, how they work, and how savvy decision makers can most effectively apply and interpret data. A strong managerial orientation motivates learning by weaving relevant, real-world examples throughout. The authors' hallmark "Problem-Scenario Approach" helps readers understand and apply mathematical concepts and techniques. Instant online access provides students with Excel® worksheets, LINGO, and the Excel add-in Analytic Solver Platform. Using Microsoft Excel to develop spreadsheet simulation models, the thoroughly revised Chapter 16 explains how to construct a spreadsheet simulation model using only native Excel functionality, while the chapter appendix covers how the use of Excel add-in Analytic Solver Platform facilitates more sophisticated simulation analyses. Data Tables and Goal Seek Excel features were also added to Appendix A to help in the construction of spreadsheet simulation models. The 13th Edition includes a more holistic description of how variable activity times affect the probability of a project meeting a deadline, while maintaining simplicity by showing when using the critical path for these calculations is reasonable. In addition, numerous all-new Q.M. in Action vignettes, homework problems, and end-of-chapter cases are included throughout.

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AboutTable of contentsResourcesPricing & formatsRelated products

About this product

Written with the non-mathematician in mind, QUANTITATIVE METHODS FOR BUSINESS, 13E by award-winning authors Anderson, Sweeney, Williams, Camm, Cochran, Fry, and Ohlmann equips your students with a strong conceptual understanding of the critical role that quantitative methods play in today's decision-making process. This applications-oriented text clearly introduces current quantitative methods, how they work, and how savvy decision makers can most effectively apply and interpret data. A strong managerial orientation motivates learning by weaving relevant, real-world examples throughout. The authors' hallmark "Problem-Scenario Approach" helps readers understand and apply mathematical concepts and techniques. Instant online access provides students with Excel® worksheets, LINGO, and the Excel add-in Analytic Solver Platform. Using Microsoft Excel to develop spreadsheet simulation models, the thoroughly revised Chapter 16 explains how to construct a spreadsheet simulation model using only native Excel functionality, while the chapter appendix covers how the use of Excel add-in Analytic Solver Platform facilitates more sophisticated simulation analyses. Data Tables and Goal Seek Excel features were also added to Appendix A to help in the construction of spreadsheet simulation models. The 13th Edition includes a more holistic description of how variable activity times affect the probability of a project meeting a deadline, while maintaining simplicity by showing when using the critical path for these calculations is reasonable. In addition, numerous all-new Q.M. in Action vignettes, homework problems, and end-of-chapter cases are included throughout.

Helpful Margin Annotations Clarify Key Points For Students. Brief, informative annotations in the margins of the book highlight key information and offer additional insights for readers who wish to know more. Providing appropriate emphasis, these clear annotations enhance students' understanding of key terms and concepts.

Notes and Comments Provide Additional Insights and Warnings About Methodology. At the end of many sections, "Notes & Comments" offer added information about the methodology being discussed and its application. Notes & Comments may include warnings or highlight limitations of the methodology, offer recommendations for applications, or provide brief technical considerations.

Self-Test Exercises Let Students Instantly Check Comprehension Before Progressing. Helpful Self-Test Exercises enable students to immediately evaluate their understanding of chapter concepts before advancing to the next topic. Completely worked-out Self-Test solutions appear in an appendix in addition to the solutions for even-numbered problems, as requested by past users.

Engaging Q.M. in Action Articles Summarize Applications from Real-World Practice. Interesting Q.M. in Action articles throughout the text offer practical summaries of how quantitative methods apply in business today. The articles feature adaptations from INTERFACES and OR/MS TODAY as well as contributions from leading practitioners.

Table of contents

Chapters

Cover Page
Title Page
Copyright Page
Dedication
Preface
Acknowledgments
Chapter 1. Introduction*Preview this chapter
Chapter 2. Introduction to Probability
Chapter 3. Probability Distributions
Chapter 4. Decision Analysis
Chapter 5. Utility and Game Theory
Chapter 6. Time Series Analysis and Forecasting
Chapter 7. Introduction to Linear Programming
Chapter 8. Linear Programming: Sensitivity Analysis and Interpretation of Solution
Chapter 9. Linear Programming Applications in Marketing, Finance, and Operations Management
Chapter 10. Distribution and Network Models
Chapter 11. Integer Linear Programming
Chapter 12. Advanced Optimization Applications
Chapter 13. Project Scheduling: PERT/CPM
Chapter 14. Inventory Models
Chapter 15. Waiting Line Models
Chapter 16. Simulation
Chapter 17. Markov Processes
Appendix A. Building Spreadsheet Models
Appendix B. Binomial Probabilities
Appendix C. Poisson Probabilities
Appendix D. Areas for the Standard Normal Distribution
Appendix E. Values of e-λ
Appendix F. References and Bibliography
Show more

Chapter 1. IntroductionPreview this chapter ↗

1.1
Problem Solving and Decision Making ↗
1.2
Quantitative Analysis and Decision Making ↗
1.3
Quantitative Analysis
Preview this section ↗
Model Development ↗
Data Preparation ↗
Model Solution ↗
Report Generation ↗
A Note regarding Implementation ↗
1.4
Models of Cost, Revenue, and Profit
Preview this section ↗
Cost and Volume Models ↗
Revenue and Volume Models ↗
Profit and Volume Models ↗
Breakeven Analysis ↗
1.5
Quantitative Methods in Practice ↗
Summary ↗
Glossary ↗
Problems ↗
Case Problem. Scheduling a Golf League ↗
Show more

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