- Statistical decision
- Decision making -- Mathematical models.
- Management -- Statistical methods
- Financial Times Prentice Hall,
- 0273739417 (pack) :
- 9780273739418 (pack)
- 0273708899 (pbk.) :
- 9780273708896 (pbk.)
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- Previous ed.: Harlow: Pearson, 2003.
- Includes bibliographical references and index.
- Table of Contents Guided Tour Preface Acknowledgements Note to the reader Introduction: Why quantitative methods? PART 1: NUMBERS - HOW WE HANDLE THEM 1. Tools of the trade: basic numeracy skills 2. Spreadsheets and other computer-based resources PART TWO: NUMBERS - A MEANS OF COMMUNICATION 3. Obtaining the figures: data and data collection 4. Presenting the figures: tables and diagrams 5. Summarising the figures: measures of location and spread 6. Measuring changes: index numbers PART THREE: NUMBERS - A BASIS FOR DEDUCTION 7. A firm foundation: elementary probability 8. Patterns of probability: some distributions 9. Estimating from samples: inference 10. Checking a theory: hypothesis testing 11. Making it better: statistics and quality improvement 12. Looking for connections: correlation 13. Spotting the relationship: line fitting and forecasting 14. Multiple regression PART 4 NUMBERS - A TOOL OF PLANNING 15. Planning an inventory policy: stock control and simulation 16. Forecasting: time-series, semi-log graphs and exponential smoothing 17. Allowing for interest: financial mathematics 18. Planning production levels: linear programming 19. Planning a project: network analysis 20. Quantitative methods in the student research project Appendices 1 Suggestions for further reading 2 Random sampling numbers 3 Cumulative binomial probabilities 4 Cumulative Poisson probabilities 5 Areas under the standard normal curve 6 Percentage points of the X2 distribution 7 The correlation coefficient 8 The t-distribution 9 Solutions to selected exercises Index
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