Quantitative approaches in business studies / Clare Morris.
Material type:
TextPublication details: Harlow, England ; New York : FT/Prentice Hall, 2003.Edition: 6th edDescription: xix, 512 p. : ill. ; 25 cmISBN: - 0273657593
- HD30.215 .M67 2003
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Methodist University Library Main General Stacks | Reference | HD30.215 .M67 2003 (Browse shelf(Opens below)) | Available | 27893 | |||||||||||||
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Books
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Methodist University Library Main General Stacks | Reference | HD30.215 .M67 2003 (Browse shelf(Opens below)) | Available | 27890 |
Introduction: Why quantitative methods? --
--
Pt. 1. Numbers --
how we handle them --
1. Tools of the trade: basic numeracy skills --
2. Spreadsheets and other computer-based resources --
--
Pt. 2. Numbers --
a means of communication --
3. Obtaining the figures: data and data collection --
4. Making sense of the figures: data interpretation --
5. Presenting the figures: tables and diagrams --
6. Summarising the figures: measures of location and spread --
7. Measuring changes: index numbers --
--
Pt. 3. Numbers --
a basis for deduction --
8. A firm foundation: elementary probability --
9. Patterns of probability: some distributions --
10. Estimating from samples: inference --
11. Checking a theory: hypothesis testing --
12. Making it better: statistics and quality improvement --
13. Looking for connections: correlation --
14. Spotting the relationship: line fitting --
15. Multiple regression --
--
Pt. 4. Numbers --
a tool of planning --
16. Planning an inventory policy: stock control --
17. Forecasting: time-series, semi-log graphs and exponential smoothing --
18. Allowing for interest: financial mathematics --
19. Planning production levels: linear programming --
20. Planning a project: network analysis --
21. Cutting down on queues: simulation --
22. Quantitative methods in the student research project --
--
Appendices --
App. 1. Suggestions for further reading --
App. 2. Random sampling numbers --
App. 3. Cumulative binomial probabilities --
App. 4. Comulative Poisson probabilities --
App. 5. Areas under the standard normal curve --
App. 6. Percentage points of the [chi]² distribution --
App. 7. The correlation coefficient --
App. 8. The t-distribution --
App. 9. Solutions to selected exercises
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