WACE Mathematics Methods

WACE Mathematics Methods hardest topics

Across 17,409 marked attempts on AusGrader, WACE Mathematics Methods students average 58.5% on questions taken from board external papers. The lowest average of any command verb is evaluate on 51.6%, and the verb that costs the most marks is determine, which carries 39.7% of the paper against 4.7% for evaluate. These are self-selected users practising when they chose to, not the SCSA cohort under exam conditions.

How to read these numbers

  • The figures are AusGrader users' marked attempts, not SCSA results. They corroborate what the board publishes about this subject and do not stand in for it.
  • Any cut with fewer than 50 attempts is withheld, which on this page is 3 papers, 27 dot points and 18 verbs. Every figure shown carries its attempt count.
  • Scores cover questions mapped to the WACE Mathematics Methods syllabus from any board's external papers, which is why the sample is larger than the 12 SCSA papers alone. The paper table below is the exception and uses SCSA papers only.
  • Internal assessment and school-uploaded exams are excluded throughout, so these averages differ from the ones on WACE Mathematics Methods performance stats, which count every attempt.

Score by past paper

YearPaperAverageAttempts
2025Paper 174.0%164
2025Paper 254.3%113
2024Paper 154.9%89
2024Paper 258.2%71
2023Paper 158.7%95
2023Paper 258.2%50
2022Paper 169.0%116
2021Paper 153.3%74
2020Paper 159.3%90

The lowest average belongs to the 2021 Paper 1 on 53.3% from 74 attempts, and the highest to the 2025 Paper 1 on 74.0% from 164 attempts. A paper's average reflects both how hard it was and who chose to sit it, so treat the spread as a guide to which papers make demanding practice.

Score by question type

Question typeAverageAttempts
Multiple choice57.2%14,474
Short answer61.2%2,935

Score by unit

UnitAverageAttempts
Unit 3: Differentiation, Integration, and Discrete Probability57.7%11,596
Unit 4: Logarithmic Calculus and Statistical Inference59.7%7,003

An attempt counts once per unit, so a question assessed across two units appears in both rows and the column adds to slightly more than 17,409.

The priority list: heavy topics with low scores

TopicShare of marksAverageAttemptsMarks at risk
Further differentiation and applications24.4%56.5%5,78210.6
The logarithmic function15.9%56.8%3,3616.9
Continuous random variables and the normal distribution15.9%60.4%2,6986.3
Integrals15.4%61.0%3,5776.0
Discrete random variables12.2%56.0%2,4755.4
Interval estimates for proportions16.1%68.5%9775.1

Further differentiation and applications tops the list on 10.6 marks at risk per 100 paper marks, 3.7 ahead of The logarithmic function.

The same cut at dot-point level

Dot pointContentShare of marksAverageAttemptsMarks at risk
4.2.24.2.2 examine the concepts of a probability density function, cumulative distribution function, and probabilities associated with a continuous random variable given by integrals; examine simple types of continuous random variables and use them in appropriate contexts5.5%62.0%8482.1
4.2.74.2.7 calculate probabilities and quantiles associated with a given normal distribution using technology, and use these to solve practical problems4.1%51.4%1,1662.0
3.1.43.1.4 use exponential functions of the form AekxAe^{kx} and their derivatives to solve practical problems4.7%63.8%3431.7
3.1.163.1.16 solve optimisation problems from a wide variety of fields using first and second derivatives3.1%47.2%1,5361.6
4.3.94.3.9 define the approximate margin of error E=zp^(1p^)nE=z\sqrt{\frac{\hat p(1-\hat p)}{n}} and understand the trade-off between margin of error and level of confidence5.0%68.7%2421.6
3.1.63.1.6 use trigonometric functions and their derivatives to solve practical problems2.9%53.9%4501.3
3.3.163.3.16 use binomial distributions and associated probabilities to solve practical problems3.3%62.2%1,3991.3
4.3.84.3.8 use the approximate confidence interval (p^zp^(1p^)n , p^+zp^(1p^)n)\left(\hat p- z\sqrt{\frac{\hat p(1-\hat p)}{n}}\ ,\ \hat p+ z\sqrt{\frac{\hat p(1-\hat p)}{n}}\right) as an interval estimate for pp, where zz is the appropriate quantile for the standard normal distribution4.1%72.5%6421.1
3.1.153.1.15 sketch the graph of a function using first and second derivatives to locate stationary points and points of inflection2.5%60.4%9421.0
4.1.74.1.7 solve simple equations involving logarithmic functions algebraically and graphically2.1%53.2%9571.0
4.1.24.1.2 establish and use the algebraic properties of logarithms3.4%71.2%4731.0
4.1.134.1.13 determine derivatives of the form ddx(lnf(x))\frac{d}{dx}(\ln f(x)) and integrals of the form f(x)f(x)dx\int \frac{f'(x)}{f(x)}\,dx for f(x)>0f(x)>01.7%44.2%1,0720.9
3.2.193.2.19 calculate the area under a curve2.4%61.5%780.9
3.1.93.1.9 apply the product, quotient and chain rule to differentiate functions such as xexxe^x, tanx\tan x, 1xn\frac{1}{x^n}, xsinxx\sin x, exsinxe^{-x}\sin x and f(axb)f(ax-b)2.5%63.6%1,3450.9
3.1.73.1.7 examine and use the product and quotient rules1.5%47.9%4820.8
3.1.123.1.12 identify acceleration as the second derivative of position with respect to time1.6%53.4%660.8
3.3.13.3.1 develop the concepts of a discrete random variable and its associated probability function, and their use in modelling data1.2%39.9%2300.7
4.1.84.1.8 identify contexts suitable for modelling by logarithmic functions and use them to solve practical problems1.5%52.2%670.7
4.3.44.3.4 examine the concept of the sample proportion p^\hat p as a random variable whose value varies between samples, and the formulas for the mean pp and standard deviation p(1p)n\sqrt{\frac{p(1-p)}{n}} of the sample proportion p^\hat p1.7%59.7%2700.7
3.3.153.3.15 determine and use the probabilities P(X=x)=(nx)px(1p)nxP(X=x)=\binom{n}{x}p^x(1-p)^{n-x} associated with the binomial distribution with parameters nn and pp; note the mean npnp and variance np(1p)np(1-p) of a binomial distribution1.4%52.0%1,4520.7

Which command verbs cost the most marks

VerbShare of marksAverageAttemptsMarks at risk
determine39.7%59.2%1,21016.2
justify5.4%52.7%862.5
evaluate4.7%51.6%1062.3
state4.8%66.8%1361.6
calculate7.4%78.8%1331.6
show4.3%78.5%780.9
express2.3%62.2%590.9

Evaluate has the lowest average on the page at 51.6%, and it is not where the marks go. Determine averages 59.2% but carries 39.7% of the paper against 4.7%, so it puts 16.2 marks per 100 at risk against 2.3. Each verb above is practised in the WACE Mathematics Methods question bank, where the marking criteria show what SCSA expects the answer to do.

What this does not measure

Where to practise

Work the priority list from the top: Further differentiation and applications and The logarithmic function first, then the dot points above. Each topic page holds real SCSA questions with marking criteria attached. For what the papers actually cover, read WACE Mathematics Methods most tested topics.

Frequently asked questions

Which WACE Mathematics Methods past paper do students score lowest on?

The 2021 Paper 1, averaging 53.3% across 74 marked attempts on AusGrader. The 2025 Paper 1 is the highest on 74.0%.

Which WACE Mathematics Methods dot points give the best return on revision time?

4.2.2 (2.1 marks at risk per 100), 4.2.7 (2.0 marks at risk per 100) and 3.1.4 (1.7 marks at risk per 100). Marks at risk combines a dot point's share of paper marks with the marks students drop on it, so it ranks by recoverable marks and not by score alone.

How many attempts is each WACE Mathematics Methods figure based on?

17,409 marked attempts overall, with the per-row count shown in every table. Any cut below 50 attempts is withheld instead of published.

Do these averages show how the SCSA cohort performed?

No. They are AusGrader users' marked attempts, a self-selected group practising when they chose to and often without exam timing. They corroborate what SCSA publishes about this subject and do not replace it.

Sources

  • AusGrader marking data, WACE Mathematics Methods, AusGrader. 17,409 marked attempts on questions from board external papers, by self-selected AusGrader users. Not a SCSA cohort.
  • ATAR Mathematics Methods Course Examination, SCSA, 2025. Source of the mark weightings behind every marks-at-risk column, across 12 papers from 2020 to 2025 and 897 marks. Dot-point numbering follows the current SCSA Mathematics Methods syllabus.

Syllabus and assessment material referenced in this guide is used under licence, © School Curriculum and Standards Authority. See our SCSA licensing notice. The School Curriculum and Standards Authority does not endorse this publication or product.

Keep reading

Practise what you just read

Work through real SCSA Mathematics Methods questions and get your written answers marked against the official criteria, instantly.