02263cam a2200253 4500 7444 20181127183639.0 041129s2005 enka b 001 0 eng 2004065062 1403935289 658/.001/5195 22 Swift, Louise, 1959- Quantitative methods for business, management, and finance / Louise Swift and Sally Piff. 2nd ed. Houndmills, Basingstoke, Hampshire ; New York : Palgrave Macmillan, 2005. xvii, 882 : ill. ; 25 cm. Includes bibliographical references (p. [xv]-xvii) and index. PART I: ESSENTIAL MATHS.- 1. Numbers and Symbols.- 2. Simplifying Expressions.- 3. Solving Problems.- 4. Modelling Using Straight Lines.- PART II: MORE MATHS.- 5. Some Special Equations.- 6. Modelling Using Curves.- 7. Rates of Change.- PART III: DESCRIBING DATA.- 8. Pictures of Data.- 9. Summarising Data.- PART IV: PROBABILITY.- 10. Measuring Uncertainty.- 11. Numerical Outcomes.- 12. Continuous Numerical Outcomes.- 13. Some More Probability Distributions.- PART V: STATISTICS.- 14. Estimation.- 15. Testing Hypotheses.- 16. Correlation and Regression.- 17. Comparing Two Populations.- 18. Nonparametric methods.- 19. Categorical Data.- 20. Forecasting.- 21. Statistics in Practice.- PART VI: BUSINESS MODELLING.- 22. Linear Programming Models.- 23. Planning Projects.- 24. Models for Inventory Control.- 25. Time and Money.- 26. Decision Making.- 27. Simulating Reality.- 28. Controlling Quality.- PART VII: STATISTICAL TABLES.- 29. Cumulative Binomial Probabilities.- 30. Cumulative Standard Normal Probabilities.- 31. Percentage Points of the Standard Normal Distribution.- 32. Random Digits.- 33. Percentage Points of the t Distribution.- 34. Percentage Points of the x2 Distribution. Quantitative Methods for Business, Management and Finance, 4e is a comprehensive, easy-to-follow guide to the subject, painlessly leading you from fundamental principles to more advanced applications. Commercial statistics. Industrial management Statistical methods. Piff, Sally, 1960- 6362 6362 0 0 ddc 0 0 MAIN RTCLIB RTCLIB MAIN 11401 1 658 SWI 30011103 2020-07-02 00:00:00 2020-04-01 2018-11-27 MAIN