Quantitative information. The quantitative approach. Managing data. Survey methods. Presentation of data -- Descriptive statistics. Measures of location. Measures of dispersion. Index numbers -- Measuring uncertainty. Probability. Discrete probability distributions. The Normal distribution -- Statistical inference. Confidence intervals. Significance testing. Non-parametric tests -- Relating variables and predicting outcomes. Time series. Correlation. Regression. Multiple regression and correlation -- Modelling. The time value of money. Linear programming. Networks. Modelling stock control and queues. Simulation -- Mathematical background. Mathematical relationships. Matrices. Use of calculus. Cumulative binomial probabilities -- Cumulative Poisson Probabilities -- Areas in the right-hand tail of the Normal distribution -- Student's t critical points -- [chi][superscript 2] critical values -- Present value factors -- Mann-Whitney test statistic -- Wilcoxon text statistic -- Runs test -- Durbin-Watson statistic -- Random number table.