SACE Stage 2 General Mathematics study materials
SACE Stage 2 General Mathematics study resources

SACE Stage 2 General Mathematics study plan

SACE Stage 2 General Mathematics · Give each week a clear focus.

8 weeks · About 6 hours per week

Week 1

Personal financial management & Modelling using linear and non-linear functions

  • Compute simple and compound interest, including compounding periods other than annual, and verify each result with a second method (formula and spreadsheet or table)

  • Construct and interpret reducing-balance loan and investment schedules, tracking interest charged, payment made, and closing balance each period

  • Solve for an unknown (principal, rate, term, or payment) by rearranging the compound interest and annuity formulas, and check the answer by substitution

  • Sketch and interpret linear cost, revenue, and break-even graphs, identifying gradient and intercepts in context

  • Write a one-page formula sheet in your own words covering interest, annuities, and straight-line depreciation

Your checkpoint

A worked portfolio of 10 financial problems (at least 3 requiring an unknown to be solved for) with full setting-out, a check for each answer, and one break-even graph with interpretation

Week 2

Personal financial management & Modelling using linear and non-linear functions

  • Model depreciation using both straight-line and reducing-balance methods, and compare the two on the same asset over 5 years

  • Calculate the future value and present value of an annuity and explain in writing why present value is smaller than the sum of payments

  • Apply inflation and effective annual rate conversions to compare two investment offers and justify a recommendation

  • Build a spreadsheet or table model of a 5-year loan with a fixed monthly repayment and identify total interest paid

  • Explain, using a worked example, the effect of changing the repayment frequency on total interest

Your checkpoint

A comparison report of two loan or investment options (at least 150 words of reasoning) supported by a full amortisation table and a depreciation comparison table

Week 3

Modelling using linear and non-linear functions & Discrete models

  • Fit linear, quadratic, and exponential models to supplied data sets by hand and by technology, and state the equation with its domain of validity

  • Interpret the parameters of an exponential model (initial value and growth or decay factor) in the context of the data

  • Generate terms of arithmetic and geometric sequences from recurrence relations and closed forms, and convert between the two representations

  • Solve recurrence problems involving growth, decay, and simple financial contexts, showing the first four terms and the long-term behaviour

  • Identify where a linear model is inappropriate and justify choosing a non-linear model instead

Your checkpoint

A modelling folio of three data sets, each with a fitted equation, a residual or reasonableness check, a stated domain of validity, and a short justification of the model choice

Week 4

The statistical investigation process & Discrete models

  • Distinguish population from sample and identify sources of bias in three given sampling scenarios

  • Classify variables by type and choose an appropriate display (histogram, boxplot, scatterplot, or two-way table) for each

  • Compute and interpret mean, median, standard deviation, and five-number summary, and compare two distributions using these statistics

  • Interpret the correlation coefficient and the line of best fit, and explain why correlation does not establish causation

  • Set up a recurrence model for a simple population or decay process and compare its predictions with observed data

Your checkpoint

A statistical investigation plan (question, variables, sampling method, display choices, and planned analysis) plus a completed descriptive analysis of one supplied data set with at least four statistics interpreted in context

Week 5

The statistical investigation process & Networks and matrices

  • Carry out the full statistical investigation process on a data set: pose a question, collect or select data, analyse, and draw a conclusion with limitations

  • Construct and interpret normal distribution probabilities and z-scores, and apply the empirical rule to a context

  • Represent a network with a vertex-edge diagram and an adjacency matrix, and convert between the two

  • Identify connected graphs, trees, and spanning trees, and count or verify degrees and edges using the handshake lemma

  • Explain in writing how a poorly chosen sample could change the conclusion of your investigation

Your checkpoint

A complete written statistical investigation report (question, method, analysis, conclusion, and at least two limitations) plus a correctly converted network diagram and adjacency matrix for a 6-vertex problem

Week 6

Networks and matrices

  • Find a minimum spanning tree using Kruskal's algorithm and verify the total weight by a second traversal

  • Find a shortest path using Dijkstra's algorithm, showing the label at each vertex after every step

  • Determine critical path and earliest and latest start times for a small activity network, and state the float of each activity

  • Perform matrix addition, subtraction, and multiplication by hand, and interpret the entries of a product matrix in a network or transition context

  • Use a transition matrix to project a state two steps ahead and interpret the result

Your checkpoint

A networks and matrices problem set of 8 fully worked questions, including one annotated Dijkstra table, one critical path analysis with floats, and one two-step transition matrix projection with interpretation

Week 7

Personal financial management & The statistical investigation process & Modelling using linear and non-linear functions & Networks and matrices & Discrete models

  • Complete a timed mixed-topic paper of 15 questions under exam conditions and mark it against the solutions

  • Record every error by domain and classify each as a knowledge gap, a method error, or a misread

  • Re-teach your two weakest topics from scratch using your own notes, then redo the missed questions without notes

  • Rehearse setting out full solutions, including stating formulas, substituting, and giving answers with units and context

  • Check your formula sheet against the syllabus and add any missing entries

Your checkpoint

A timed mock paper with a marked error log by domain, plus corrected full solutions for every question you missed

Week 8

Personal financial management & The statistical investigation process & Modelling using linear and non-linear functions & Networks and matrices & Discrete models

  • Complete a second timed mock paper and compare domain-level accuracy with the week 7 log

  • Close remaining gaps by redoing the specific question types still below target accuracy

  • Summarise each domain onto a single revision card containing key formulas, method steps, and one worked example

  • Practise interpreting answers in context, ensuring every final answer states units and meaning

  • Plan exam timing: allocate minutes per section and rehearse the order in which you will attempt questions

Your checkpoint

A final one-page-per-domain revision set of five cards, plus a second marked mock with a written comparison of accuracy against week 7 and a stated exam timing plan

Milestones

Week 2: You can solve an annuity or loan problem for an unknown rate or term and verify it by substitution, and your amortisation table balances in every row

Week 4: You can complete the full statistical investigation process unaided and justify each display and statistic choice in writing

Week 6: You can run Kruskal's, Dijkstra's, and a critical path analysis without prompts and interpret a matrix product in context

Week 8: Second mock shows improved domain-level accuracy over week 7 in at least four of the five domains, with no domain below 60 percent