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
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
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
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
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
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
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
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
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