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
About your course materials
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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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
Chapter 1. IntroductionPreview this chapter
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