Introduction: the syllabus. Part 1 Business statistics: collection and presentation of numerical information - collection of data, sources of published statistics, presentation of data; frequency distribution - averages, dispersion, skewness; relationship and forecasting - correlation, regression lines, time series analysis, forecasting; index numbers; probability and statistical inference - elementary probability, normal distribution, sampling theory, confidence limits. Part 2 Business mathematics: representation of business situations using models - modelling, break even analysis, linear programming; compound interest and investment appraisal - compounding, discounting, depreciation and amortization.