Preface
Part One - Background
Chapter 1: Managers and numbers
Chapter 2: Quantitative tools
Chapter 3: Drawing graphs
Part Two - Collecting and summarising data
Chapter 4: Collecting data
Chapter 5: Diagrams for presenting data
Chapter 6: Using numbers to describe data
Chapter 7: Desccribing changes with index numbers
Part Three - Solving management problems
Chapter 8: Finance and performance
Chapter 9: Regression and curve fitting
Chapter 10: Forecasting
Chapter 11: Simultaneous equations and matrices
Chapter 12: Planning with linear programming
Chapter 13: Rates of change and calculus
Part Four - Introducing statistics
Chapter 14: Uncertainty and probabilities
Chapter 15: Probability distributions
Chapter 16: Using samples
Chapter 17: Testing hypotheses
Part Five - Management problems with uncertainty
Chapter 18: Making decisions
Chapter 19: Quality management
Chapter 20: Inventory management
Chapter 21: Porject networks
Chapter 22: Queues and simulation
Glossary
Appendix A: Solutions to review questions
Appendix B: Probabilities for the binomial distribution
Appendix C: Probabilities for the Poisson distribution
Appendix D: Probabilities for the Normal distribution
Appendix E: Probabilities for the t-distribution
Appendix F: Critical values for the X2 distribution
Index