Quantitative methods for business decisions /
Curwin, Jon
Quantitative methods for business decisions / - 7th ed. - Cengage Learning 2013 - xv, 604 p.; ill. 25 cm.
1 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.
Provides 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.
9781408060193
Decision making -- Mathematical models.
Mathematical statistics.
Industrial management -- Mathematical models.
Commercial statistics
HD30.23 / .C87 2013
Quantitative methods for business decisions / - 7th ed. - Cengage Learning 2013 - xv, 604 p.; ill. 25 cm.
1 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.
Provides 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.
9781408060193
Decision making -- Mathematical models.
Mathematical statistics.
Industrial management -- Mathematical models.
Commercial statistics
HD30.23 / .C87 2013