Table of Contents

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 DATA.
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.

About the Author

David Eadson is a Higher Education Consultant, formerly a Principal Lecturer in Statistics in the Teesside University Business School Jon Curwin is Principal Lecturer in Business Analysis and Senior Learning and Teaching Fellow, Birmingham City Business School Roger Slater is Head of the Faculty Resources Centre for the Faculty of Law, Humanities and Social Sciences at the University of Central England, UK, and has been involved in teaching and examining quatitative topics for over 30 years.

Reviews

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 DATA. 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.