Outcomes
develops understanding and fluency in mathematics through exploring and connecting mathematical concepts, choosing and applying mathematical techniques to solve problems, and communicating their thinking and reasoning coherently and clearly
selects and applies algebraic techniques to solve problems involving equations and formulas
models and interprets linear relationships to solve problems and make predictions in practical contexts
solves financial problems involving earning money and taxation
solves financial problems involving budgeting and purchasing
solves problems involving measurement in practical contexts
solves problems involving time and location in practical contexts
applies network techniques to solve network problems
displays and analyses datasets using summary statistics and graphical representations
represents and interprets the relationships between quantities in algebraic and graphical forms
solves problems involving simple interest and compound interest to make decisions about financial situations
solves problems involving interest and depreciation to make decisions about loans and credit cards
applies Pythagoras’ theorem and trigonometry to solve problems involving right-angled triangles
interprets ratios and rates to solve problems in practical contexts
displays and interprets bivariate datasets to solve problems and make predictions
models and solves problems involving the probabilities of simple and compound events
represents the relationships between quantities algebraically and graphically to solve problems and make predictions in practical contexts
models financial situations and solves problems involving interest, depreciation and borrowing money
solves financial problems involving annuities
applies trigonometry to solve problems involving right-angled and non-right-angled triangles
solves practical problems involving ratios and rates
applies network flow concepts to solve problems and model decision-making in practical contexts
applies critical path analysis to solve problems and model decision-making in practical contexts
analyses bivariate datasets using statistical processes
models and solves problems involving the probabilities of multistage events
analyses normally distributed datasets using statistical processes