You don't have to be a mathematician to maximize the power of quantitative methods. Written for the current−or future−business professional, QUANTITATIVE METHODS FOR BUSINESS, 13E makes it easy for you to understand how you can most effectively use quantitative methods to make smart, successful decisions. The book's hallmark problem-scenario approach guides you step by step through the application of mathematical concepts and techniques. Memorable real-life examples demonstrate how and when to use the methods found in the book, while instant online access provides you with Excel® worksheets. The chapter on simulation includes a more elaborate treatment of uncertainty by using Microsoft Excel to develop spreadsheet simulation models. The new edition also includes a more holistic approach to variability in project management. Completely up to date, QUANTITATIVE METHODS FOR BUSINESS, 13E reflects the latest trends, issues, and practices from the field.
- Access a full eBook
- Integrate with your LMS
- Assign pre-built interactive and auto-graded tests and assignments that range from practice to mastery
- Adjust due dates, point values, chapter order, and more customizable course settings to fit your needs
Preface.
1. Introduction.
2. Introduction to Probability.
3. Probability Distributions.
4. Decision Analysis.
5. Utility and Game Theory.
6. Time Series Analysis and Forecasting.
7. Introduction to Linear Programming.
8. Linear Programming: Sensitivity Analysis and Interpretation of Solution.
9. Linear Programming Applications in Marketing, Finance, and Operations Management.
10. Distribution and Network Models.
11. Integer Linear Programming.
12. Advanced Optimization Applications.
13. Project Scheduling: PERT/CPM.
14. Inventory Models.
15. Waiting Line Models.
16. Simulation.
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 for e-λ.
Appendix F: References and Bibliography.
Appendix G: Self-Test Solutions and Answers to Even-Numbered Problems.
David R. Anderson
Dennis J. Sweeney
Jeffrey D. Camm
James J. Cochran
Michael J. Fry
