Quantitative Approaches in Business Studies
6th Edition

By Clare Morris
Financial Times / Pearson Education
February 2003
ISBN: 0-273-65759-3
531 Pages, 7 1/2" x 9 3/4"
$87.50 paper original


Quantitative Approaches in Business Studies is a widely used, first-rate introduction to the effective use of mathematical and statistical techniques in business. Fully updated for this 6/e, the book adopts a problem solving approach to show the relevance of quantitative techniques in the business and management environment. Requiring only minimal prior mathematical knowledge, the text maintains the accessible and user-friendly style of earlier editions. A first chapter on basic numeracy skills allows the reader to brush-up on their knowledge while worked examples in the text and accompanying on-line Excel workbook allow students to test their understanding.

Contents
Preface to the sixth edition Acknowledgements Note to the reader Why Quantitative methods?
PART ONE: 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 how to collect it. 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.
PART THREE: 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 and forecasting. 15. Multiple regression.
PART FOUR: NUMBERS - A TOOL OF PLANNING 16. Planning an inventory policy: stock control. 17. More about forecasting: time-series 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. Authoritative methods in the research projects.

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 ?2 distribution 7. The correlation coefficient 8. The t-distribution 9. Solutions to selected exercises Index


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