Business Mathematics and Statistics / Edition 6

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The sixth edition provides a thorough grounding in basic mathematical and statisical techniques for business students, and students on a professional course such as accounting. The result is a comprehensive, user-friendly, testing oriented guide to quantitative methods for business.

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Product Details

  • ISBN-13: 9781844801282
  • Publisher: Cengage Learning EMEA Higher Education
  • Publication date: 4/1/2004
  • Edition description: 6TH
  • Edition number: 6
  • Pages: 672
  • Product dimensions: 6.52 (w) x 9.60 (h) x 1.18 (d)

Meet the Author

Andre Francis has recently retired from his position as a medical statistician at QMC, University Hospital, Nottingham. He also taught mathematics, statistics and information processing to students on business and professional courses for many years.

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Table of Contents

1. Introduction to Business Mathematics and Statistics. PART I: DATA AND THEIR PRESENTATION. 2. Sampling and data collection. 3. Data and their accuracy. 4. Frequency distribution and charts. 5. General charts and graphs. Examination questions. PART II: STATISTICAL MEASURES. 6. Arithmetic mean. 7. Median. 8. Mode and other measures of location. 9. Measures of dispersion and skewness. 10. Standard deviation. 11. Quantiles and the quartile deviation. Examination example and questions. PART III: REGRESSION AND CORRELATION. 12. Linear functions and graphs. 13. Regression techniques. 14. Correlation techniques. Examination example and questions. PART IV: TIME SERIES ANALYSIS. 15. Time series model. 16. Time series trend. 17. Seasonal variation and forecasting. Examination example and questions. PART V: INDEX NUMBERS. 18. Index relatives. 19. Composite index numbers. 20. Special published indices. Examination questions. PART VI: COMPOUNDING, DISCOUNTING AND ANNUITIES. 21. Interest and depreciation. 22. Present value and investment appraisal. 23. Annuities. Examination examples and questions. PART VII: BUSINESS EQUATIONS AND GRAPHS. 24. Functions and graphs. 25. Linear equations. 26. Quadratic and cubic equations. 27. Differentiation and integration. 28. Cost, revenue and profit functions. Examination examples and questions. PART VIII: PROBABILITY. 29. Set theory and enumeration. 30. Introduction to probability. 31. Conditional probability and expectation. Examination examples and questions. PART IX: FURTHER PROBABILITY. 32. Combinations and permutations. 33. Binomial and Poisson distributions. 34. Normal distribution. Examination example and questions. PART X: SPECIALIZED BUSINESS APPLICATIONS. 35. Linear inequalities. 36. Matrices. 37. Inventory control. 38. Network planning and analysis. Examination example and questions. Answers to student exercises. Answers to examination questions. Appendices. Index.

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