Core: Data Analysis
Univariate data, skewness, boxplots, 68-95-99.7% rule; Univariate data, summary statistics, stemplots, bar charts; Bivariate data, r, least squares regression; Least squares regression, residuals; Time series, trend lines, seasonal indices

Module: Number patterns
Arithmetic and geometric sequences; Arithmetic, geometric sequences, population growth; Sums of sequences, infinite geometric series; Graphs of arithmetic and geometric sequences, difference

Module 2: Geometry and trigonometry
Similar triangles, solving right angled triangles; Scale diagrams, area, volume; Contour map, right angled triangles; Triangulation, bearings, scale diagrams; Bearings, non-right angled triangles

Module: 3: Graphs and relations
Distance/time graphs; Breakeven analysis; Linear programming; Graphs of y = kx2; Linear programming, distance/time graphs

Module 5: Networks and decision mathematics
Eulerian and Hamitonian paths; Spanning trees, circuits and; shortest path problems; Critical path analysis; Maximum flow; Allocation of tasks, Hungarian algorithm

Module 6: Matrices Detachable examination
Matrix representation, arithmetic and simultaneous equations; Matrix addition, multiplication and simultaneous equations; Matrix applications and transition matrices; Matrix representation and applications, transition matrices; 3 × 3 simultaneous equations and transition matrices.