Preface Chapter 1: The Art and Science of Becoming a More Effective and Efficient Problem Solver Chapter 2: Introduction to Spreadsheet Modeling Chapter 3: Probability and Statistics-A Foundation for Becoming a More Effective and Efficient Problem Solver Chapter 4: Decision Analysis: Building the Structure for Solving the Problem Chapter 5: Simulation Modeling Chapter 6: Linear Regression Modeling Chapter 7: Introduction to Forecasting Chapter 8: Introduction to Optimization Models Chapter 9: Project Management: PERT/CPM Chapter 10: Introduction to Visual Basic Programming Appendix A: Useful Information (includes statistical tables and "Writing Guide for Business Decisions") |