000			01732 a2200241 4500
008			130617b xxu||||| |||| 00| 0 eng d
020			_a9781408060193
050			_aHD30.23 _b.C87 2013
100			_aCurwin, Jon
245			_aQuantitative methods for business decisions /
250			_a7th ed.
260			_c2013 _bCengage Learning
300			_axv, 604 p.; _bill. _c25 cm.
505			_a1 BASIC MATHEMATICS. 1A. Mathematical Background. 1B. Financial Mathematics. Part 1: UNDERSTANDING QUANTITATIVE INFORMATION. 2. The quantitative approach. 3. Managing data. 4. Survey methods. Part 2: DESCRIBING DATE. 5. Presentation of data. 6. Measures of location. 7. Measures of dispersion. 8. Index numbers. Part 3: MEASURING UNCERTAINTY. 9. Probability. 10. Discrete probability distributions. 11. The Normal distribution. Part 4: USING STATISTICAL INFERENCE. 12. Samples, Estimation and Confidence intervals. 13. Significance testing. 14. Non-parametric tests. Part 5: RELATING VARIABLES AND PREDICTING OUTCOMES. 15. Correlation and simple regression analysis. 16. Multiple Regression Analysis. 17. Time series.
520			_aProvides students with all the tools they need to pass the typical Quantitative Methods course. In this title, each chapter focuses on a selection of statistical techniques, illustrated with examples from across business, marketing, economics, finance, and public administration, to appeal to students across the business spectrum.
650			_aDecision making -- Mathematical models.
650			_aMathematical statistics.
650			_aIndustrial management -- Mathematical models.
650			_aCommercial statistics
700			_aSlater, Roger
700			_aEadson, David
942			_cBK _2lcc
999			_c41988 _d41988