List of self-assembly guides
Guided tour
Introduction: the Quantitative Methods road map
Acknowledgements
Chapter 1Â Rules of the road:Â The basic techniques
Chapter 2Â Straight ahead - linear models
Chapter 3Â Around the bend - dealing with the curves
Chapter 4Â Filling up - fuelling quantitative analysis
Chapter 5Â Good visibility - pictorial presentation of data
Chapter 6Â General directions - summarising data
Chapter 7Â Two-way traffic - investigating relationships between two variables using correlation and regression
Chapter 8Â Counting the cost - summarising money variables over time
Chapter 9Â 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 2Â Answers to review questions
Index
Â
Â