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