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WA Year 11-12 Mathematics Practice

WA Year 11-12 Mathematics Practice

Use this page for WACE Maths practice questions, senior secondary revision, and topic-based exam preparation. Skill Align practice includes student-readable questions, explanations, exercise mode, and test mode for parents comparing Australian senior subject coverage.

WA senior mathematics includes multiple WACE courses organised by Units 1-4, with Units 1-2 usually studied in Year 11 and Units 3-4 in Year 12.

This page focuses on the main Skill Align practice pathways: Mathematics Essential, Mathematics Applications / General Mathematics, Mathematics Methods, and Mathematics Specialist.

Mathematics Preliminary and Mathematics Foundation are not shown on this public practice page because Skill Align is currently focusing on mainstream senior practice pathways.

Curriculum attribution

  • Skill Align independently prepares practice pathways aligned to publicly available curriculum and syllabus information.
  • Skill Align is not affiliated with, endorsed by, or sponsored by ACARA, VCAA, NESA, QCAA, SCSA, SACE, or any state curriculum authority.
  • Official curriculum, syllabus, study design, and assessment requirements should always be checked on the relevant authority website.
  • Skill Align modifies and reorganises referenced material for practice and study-planning purposes.
Mathematics Topics and Subtopics
Year 11 = Units 1-2; Year 12 = Units 3-4
PathwayUnit 1 (Year 11)Unit 2 (Year 11)Unit 3 (Year 12)Unit 4 (Year 12)
Mathematics Essential

1. Calculations

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• Use practical number operations, estimation, rounding, calculator use, and checking reasonableness.

2. Number

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• Use fractions, decimals, percentages, ratios, rates, and practical number relationships.

3. Representing Data

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• Use tables, charts, graphs, summary values, and interpretation of displayed data.

4. Managing Money

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• Use income, expenses, budgets, bills, discounts, GST, and practical personal finance decisions.

1. Calculations

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• Use practical multi-step calculations, estimation, rounding, and reasonableness checks.

2. Data Collection

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• Use surveys, census, sampling, bias, questionnaire design, and data collection decisions.

3. Graphs

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• Use graphs to represent and interpret data, including travel and real-world contexts.

4. Time and Motion

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• Use time, speed, distance, duration, timetables, travel graphs, and motion interpretation.

1. Calculations

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• Use practical number operations, estimation, rounding, unit conversion, and reasonableness checks.

2. Measurement

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• Use length, perimeter, area, volume, capacity, mass, time, composite shapes, and practical measurement problems.

3. Scales, Plans and Models

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• Use scale drawings, actual measurements, plans, maps, models, and spatial interpretation.

4. Probability and Relative Frequencies

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• Use chance, relative frequency, simple probability, sample spaces, and interpretation of probability in context.

1. Calculations

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• Use practical multi-step arithmetic, rounding, estimation, and checking results.

2. Bivariate Graphs

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• Use Cartesian coordinates, scatterplots, association, line of best fit, interpolation, extrapolation, and interpretation.

3. Summarising and Comparing Data

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• Use measures of centre and spread, distribution shape, data comparison, and interpretation.

4. Loans and Compound Interest

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• Use simple interest, compound interest, loan repayments, balances, total cost, and financial interpretation.
Mathematics Applications

1. Consumer Arithmetic

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• Use percentages, rates, earning, spending, taxation, discounts, profit/loss, and spreadsheet-style practical contexts.

2. Algebra and Matrices

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• Use formulas, substitution, linear relationships, algebraic rearrangement, matrices, and matrix applications.

3. Shape and Measurement

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• Use perimeter, area, volume, surface area, scale, similarity, circles, and practical measurement.

4. Linear Equations and Graphs

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• Use linear equations, gradients, intercepts, graph interpretation, simultaneous equations, and practical linear modelling.

1. Univariate Data Analysis

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• Use one-variable data, categorical and numerical variables, data displays, summary measures, spread, and interpretation.

2. Applications of Trigonometry

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• Use right-angled and non-right-angled trigonometry, sine rule, cosine rule, bearings, elevation, and depression.

3. Applications of Linear Equations and Graphs

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• Use simultaneous linear equations, piecewise linear graphs, step graphs, break-even points, and practical modelling.

4. Matrices and Applications

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• Use matrix notation, matrix operations, transition-style applications, and interpretation in applied contexts.

1. Bivariate Data Analysis

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• Use scatterplots, association, correlation, coefficient of determination, least-squares line, residuals, interpolation, extrapolation, and prediction.

2. Growth and Decay in Sequences

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• Use arithmetic sequences, geometric sequences, recurrence, growth, decay, depreciation, compound interest, and discrete modelling.

3. Graphs and Networks

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• Use graph terminology, vertices, edges, paths, trails, circuits, trees, adjacency matrices, and network representation.

4. Earth Geometry and Time Zones

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• Use latitude, longitude, great circles, time zones, travel, broadcasting, and itinerary contexts.

1. Time Series Analysis

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• Use time series plots, trend, seasonality, smoothing, moving averages, seasonal indices, and long-term trend modelling.

2. Loans, Investments and Annuities

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• Use reducing-balance loans, compound interest, present value, future value, annuities, repayments, and investment modelling.

3. Networks and Decision Mathematics

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• Use shortest paths, spanning trees, minimum spanning trees, flow, matching, scheduling, and optimisation.

4. Financial Modelling

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• Use recurrence relations, periodic payments, balances, financial tables, technology-style interpretation, and decision-making.
Mathematics Methods

1. Functions and Graphs

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• Use function notation, domain, range, transformations, graph features, composite functions, and inverse relationships.

2. Trigonometric Functions

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• Use sine, cosine, tangent, radians, exact values, periodicity, transformations, and trigonometric graphs.

3. Counting and Probability

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• Use counting methods, probability rules, complements, conditional probability, independence, and interpretation.

4. Algebraic Reasoning

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• Use equations, inequalities, exact algebraic manipulation, polynomial forms, and symbolic reasoning.

1. Exponential Functions

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• Use exponential functions, exponential equations, graphs, growth, decay, and modelling.

2. Arithmetic and Geometric Sequences

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• Use arithmetic sequences, geometric sequences, recursive definitions, series, and applications.

3. Introduction to Differential Calculus

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• Use limits, gradients, derivatives, tangent lines, rates of change, and introductory differentiation rules.

4. Applications of Differential Calculus

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• Use derivatives for stationary points, curve behaviour, optimisation, rates, and practical modelling.

1. Further Differentiation

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• Use derivative rules, composite functions, exponential and logarithmic derivatives, trigonometric derivatives, product rule, quotient rule, and chain rule.

2. Applications of Differentiation

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• Use second derivative, concavity, optimisation, motion, displacement, velocity, acceleration, and modelling.

3. Integrals

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• Use anti-differentiation, indefinite integrals, definite integrals, area, accumulation, and motion from velocity or acceleration.

4. Discrete Random Variables

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• Use discrete probability distributions, expected value, variance, standard deviation, and random-process modelling.

1. Logarithmic Functions

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• Use logarithm laws, logarithmic functions, inverse relationships with exponentials, equations, graphs, and modelling.

2. Further Integration

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• Use definite integrals, fundamental theorem of calculus, area under curves, area between curves, numerical approximation, and total change.

3. Continuous Random Variables and the Normal Distribution

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• Use continuous random variables, density functions, cumulative distribution, normal distribution, probability, quantiles, and interpretation.

4. Statistical Inference

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• Use random sampling, sampling distributions, sample proportions or means as appropriate, confidence intervals, and inference-style interpretation.
Mathematics Specialist

1. Combinatorics

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• Use arrangements, selections, counting principles, permutations, combinations, and structured cases.

2. Proof

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• Use direct proof, contradiction-style reasoning, implication, counterexample, proof structure, and justification.

3. Vectors in the Plane

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• Use two-dimensional vectors, magnitude, direction, vector addition, scalar multiplication, components, and geometric interpretation.

4. Geometry

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• Use circle geometry, coordinate geometry, geometric relationships, and proof-style reasoning.

5. Trigonometry

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• Use exact values, identities, equations, angle relationships, and graph interpretation.

1. Complex Numbers

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• Use imaginary number definition, complex arithmetic, Cartesian form, conjugates, modulus, and Argand-plane basics.

2. Complex Arithmetic and Algebra

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• Use algebraic manipulation of complex numbers, equations, factors, roots, and exact complex-number reasoning.

3. Matrices

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• Use matrix operations, determinants, inverse matrices, systems of equations, and matrix interpretation.

4. Matrices and Transformations

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• Use matrices for transformations, composition, geometric effects, inverses, and systems.

5. Trigonometric Functions

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• Use trigonometric functions, identities, equations, transformations, and exact graph reasoning.

1. Further Complex Numbers

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• Use polar form, modulus, argument, De Moivre's theorem, powers, roots of unity, roots of complex numbers, Argand diagrams, loci, polynomial factorisation, factor theorem, remainder theorem, and conjugate root theorem.

2. Vectors in Three Dimensions

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• Use 3D vectors, scalar product, vector equations, lines, planes, angles, distances, projections, and geometric interpretation.

3. Vector Calculus

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• Use vector functions, position, velocity, acceleration, motion in two and three dimensions, and calculus-based vector reasoning.

4. Matrices, Systems and Applications

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• Use matrices beyond 2 by 2, systems of linear equations, Gaussian elimination, matrix applications, and interpretation.

5. Proof with Complex Numbers and Vectors

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• Use proof, exact symbolic reasoning, complex-number identities, vector proofs, and justification of mathematical claims.

1. Integration Techniques

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• Use advanced integration methods, substitution, integration by parts, partial fractions, inverse trigonometric forms, logarithmic integrals, and exact antiderivatives.

2. Applications of Integral Calculus

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• Use area between curves, volumes of revolution, numerical integration, total change, and applied integral modelling.

3. Rates of Change and Differential Equations

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• Use implicit differentiation, related rates, separable differential equations, solutions, long-term behaviour, and interpretation of change.

4. Modelling Motion

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• Use position, velocity, acceleration, force, motion, differential equations, kinematics, and vector motion contexts.

5. Statistical Inference

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• Use sampling distributions, sample means, confidence intervals, normal approximation, statistical reasoning, and interpretation.
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