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Quantitative Methods for Decision Makers

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Quantitative Methods for Decision Makers



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Quantitative Methods for Decision Makers by Mik Wisniewski
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Appealing both to students on introductory courses for quantitative methods and MBA and post-experience students, this respected text provides an accessible, practical introduction to an area that students often find difficult. Concentrating on helping students to understand the relevance of quantitative methods of analysis to managers' decision-making, it focuses on the development of appropriate skills and understanding of how the techniques fit into the wider management process.

Table of Contents

1. Introduction 2. Tools of the trade 3. Presenting management information 4. Management statistics 5. Probability and probability distributions 6. Decision making under uncertainty 7. Market research and statistical inference 8. Quality control and quality management 9. Forecasting 1: Moving averages and time series 10. Forecasting 2: Regression 11. Linear programming 12. Stock control 13. Project management 14. Simulation 15. Financial decision-making Conclusion Appendices: A. Binomial distribution B. Areas in the tail of the Normal distribution C. Areas in the tail of the t distribution D. Areas in the tail of the x2 distribution E. Areas in the tail of the F distribution F. Solutions to chapter activities Index
Release date NZ
August 11th, 2005
Country of Publication
United Kingdom
4th Revised edition
Financial Times Prentice Hall
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