List of self-assembly guides Guided tour Introduction: the Quantitative Methods road map Acknowledgements Chapter 1 Rules of the road: The basic techniques Chapter 2 Straight ahead - linear models Chapter 3 Around the bend - dealing with the curves Chapter 4 Filling up - fuelling quantitative analysis Chapter 5 Good visibility - pictorial presentation of data Chapter 6 General directions - summarising data Chapter 7 Two-way traffic - investigating relationships between two variables using correlation and regression Chapter 8 Counting the cost - summarising money variables over time Chapter 9 Long distance - analysing time series data Chapter 10 Is it worth the risk - introducing probability Chapter 11 Finding the right way - analysing decisions Chapter 12 Accidents and incidence - discrete probability distributions and simulation Chapter 13 Smooth running - continuous probability distributions and basic queuing theory Chapter 14 Getting from A to B - project planning using networks Chapter 15 Taking short cuts - sampling methods Chapter 16 Test driving - sampling theory, estimation and hypothsis testing Chapter 17 High performance - statistical inference for comparing population means and bivariate data Chapter 18 Going off-road - managing quantitative research for projects and dissertations# Appendix 1 Statistical and Accounting tables Appendix 2 Answers to review questions Index.