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SACE Stage 2 Mathematical Methods deep dive: all six topics for the 2026 exam

SACEMath MethodsStudy guide20 min read

Revision deep dive for all six topics of SACE Stage 2 Mathematical Methods: differentiation rules, curve sketching and optimisation, discrete random variables and the binomial distribution, integration and areas, logarithms, continuous random variables and the normal distribution, and confidence intervals, with worked examples and links to every dot point.

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  1. How to use this deep dive
  2. Topic 1: Further differentiation and applications
  3. Topic 2: Discrete random variables
  4. Topic 3: Integral calculus
  5. Topic 4: Logarithmic functions
  6. Topic 5: Continuous random variables and the normal distribution
  7. Topic 6: Sampling and confidence intervals
  8. Common mistakes
  9. Check your knowledge

How to use this deep dive

The SACE Stage 2 Mathematical Methods exam can draw on all six topics of the subject outline. This guide takes one revision pass through each topic, links every dot point on the site, and gives a worked example in the exam style. For format, the assessment design criteria and a revision timetable, see the exam strategy guide.

Topic 1: Further differentiation and applications

Dot points: the chain rule, product and quotient rules, the second derivative and concavity, curve sketching with derivatives, optimisation problems.

Two rules at once

Differentiate f(x)=x2sin⁡(3x)f(x) = x^2\sin(3x).

Product rule with u=x2u = x^2 and v=sin⁡(3x)v = \sin(3x), where the chain rule gives v′=3cos⁡(3x)v' = 3\cos(3x):

f′(x)=2xsin⁡(3x)+3x2cos⁡(3x).f'(x) = 2x\sin(3x) + 3x^2\cos(3x).

The second derivative tells you concavity: f′′(x)>0f''(x) > 0 means concave up, f′′(x)<0f''(x) < 0 concave down, and a point of inflection is where the concavity changes. A curve sketch should label intercepts, stationary points (with their nature), inflection points, asymptotes and end behaviour.

Optimisation with a constraint

A closed cylindrical can must hold 500 cm3500\text{ cm}^3. Find the radius that minimises its surface area.

Volume: πr2h=500\pi r^2h = 500, so h=500πr2h = \dfrac{500}{\pi r^2}. Surface area: A=2πr2+2πrh=2πr2+1000rA = 2\pi r^2 + 2\pi rh = 2\pi r^2 + \dfrac{1000}{r}.

dAdr=4πr−1000r2=0\dfrac{dA}{dr} = 4\pi r - \dfrac{1000}{r^2} = 0 gives r3=250πr^3 = \dfrac{250}{\pi}, so r≈4.30r \approx 4.30 cm.

d2Adr2=4π+2000r3>0\dfrac{d^2A}{dr^2} = 4\pi + \dfrac{2000}{r^3} > 0, confirming a minimum. At this radius h≈8.60h \approx 8.60 cm, twice the radius: the most efficient can is as tall as it is wide.

Topic 2: Discrete random variables

Dot points: discrete random variables and distributions, expected value and variance, the Bernoulli and binomial distributions.

Discrete random variables and the binomial distribution

μ=E(X)=∑x p(x)σ2=Var(X)=∑(x−μ)2p(x)\mu = E(X) = \sum x\,p(x) \qquad \sigma^2 = \text{Var}(X) = \sum (x - \mu)^2 p(x)

X∼Bin(n,p):P(X=x)=(nx)px(1−p)n−x,μ=np,σ=np(1−p)X \sim \text{Bin}(n, p): \quad P(X = x) = \binom{n}{x}p^x(1-p)^{n-x}, \quad \mu = np, \quad \sigma = \sqrt{np(1-p)}

A binomial model in context

A multiple-choice quiz has 8 questions, each with 4 options. A student guesses every answer. Let XX be the number correct, so X∼Bin(8,0.25)X \sim \text{Bin}(8, 0.25).

P(X=2)=(82)(0.25)2(0.75)6≈0.3115P(X = 2) = \binom{8}{2}(0.25)^2(0.75)^6 \approx 0.3115.

μ=8(0.25)=2\mu = 8(0.25) = 2 and σ=8(0.25)(0.75)≈1.22\sigma = \sqrt{8(0.25)(0.75)} \approx 1.22. So a score of 6 or more (more than three standard deviations above the mean) would be very unusual for a guesser.

Topic 3: Integral calculus

Dot points: antidifferentiation, the definite integral and the Fundamental Theorem, area under a curve, areas between curves.

Area with a region below the axis

Find the area between y=x2−4xy = x^2 - 4x and the xx-axis for 0≤x≤50 \le x \le 5.

The curve crosses the axis at x=0x = 0 and x=4x = 4; it is below the axis on 0<x<40 < x < 4.

∫04(x2−4x) dx=[x33−2x2]04=643−32=−323\displaystyle\int_0^4 (x^2 - 4x)\,dx = \left[\frac{x^3}{3} - 2x^2\right]_0^4 = \frac{64}{3} - 32 = -\frac{32}{3}

∫45(x2−4x) dx=(1253−50)−(−323)=73\displaystyle\int_4^5 (x^2 - 4x)\,dx = \left(\frac{125}{3} - 50\right) - \left(-\frac{32}{3}\right) = \frac{7}{3}

Area =323+73=13= \dfrac{32}{3} + \dfrac{7}{3} = 13 square units. Integrating straight from 0 to 5 would give −253-\dfrac{25}{3}, the signed area.

Topic 4: Logarithmic functions

Dot points: the laws of logarithms, solving exponential equations, graphs of logarithmic functions, derivatives of exponential and log functions.

Logarithms

ln⁡(ab)=ln⁡a+ln⁡bln⁡ab=ln⁡a−ln⁡bln⁡ak=kln⁡a\ln(ab) = \ln a + \ln b \qquad \ln\frac{a}{b} = \ln a - \ln b \qquad \ln a^k = k\ln a

ddxln⁡f(x)=f′(x)f(x)∫f′(x)f(x) dx=ln⁡∣f(x)∣+c\frac{d}{dx}\ln f(x) = \frac{f'(x)}{f(x)} \qquad \int \frac{f'(x)}{f(x)}\,dx = \ln|f(x)| + c

Exponential growth model

A bacterial culture grows according to N=200e0.35tN = 200e^{0.35t}, with tt in hours. When does it reach 5000?

e0.35t=25e^{0.35t} = 25, so t=ln⁡250.35≈9.20t = \dfrac{\ln 25}{0.35} \approx 9.20 hours.

The rate of growth is dNdt=70e0.35t=0.35N\dfrac{dN}{dt} = 70e^{0.35t} = 0.35N, so at the moment N=5000N = 5000 the culture is growing at 1750 bacteria per hour.

The graph of y=ln⁡(x−a)+by = \ln(x - a) + b has a vertical asymptote at x=ax = a and passes through (a+1,b)(a + 1, b). It is the reflection of the matching exponential graph in the line y=xy = x.

Topic 5: Continuous random variables and the normal distribution

Dot points: continuous random variables and probability density functions, the normal distribution, z-scores and normal probabilities.

For a continuous random variable, probabilities are areas under the density curve, the total area is 1 and P(X=a)=0P(X = a) = 0. For X∼N(μ,σ2)X \sim N(\mu, \sigma^2), the standardised score z=x−μσz = \dfrac{x - \mu}{\sigma} lets you compare values from different distributions.

Comparing with z-scores

Ella scored 78 in a Chemistry test (mean 70, standard deviation 5) and 82 in a Biology test (mean 76, standard deviation 8). In which test did she perform better relative to the cohort?

Chemistry: z=78−705=1.6z = \dfrac{78 - 70}{5} = 1.6. Biology: z=82−768=0.75z = \dfrac{82 - 76}{8} = 0.75.

Her Chemistry result is further above the mean in standard deviation terms, so it is the relatively better performance, even though the raw mark is lower.

Topic 6: Sampling and confidence intervals

Dot points: sample means and sampling distributions, confidence intervals for a mean, margin of error and sample size.

Sampling and intervals

Xˉ≈N ⁣(μ,σ2n) for large nxˉ±zsnp^±zp^(1−p^)n\bar{X} \approx N\!\left(\mu, \frac{\sigma^2}{n}\right) \text{ for large } n \qquad \bar{x} \pm z\frac{s}{\sqrt{n}} \qquad \hat{p} \pm z\sqrt{\frac{\hat{p}(1 - \hat{p})}{n}}

z=1.645z = 1.645 (90 percent), 1.961.96 (95 percent), 2.5762.576 (99 percent).

Sampling distribution, then sample size

Checkout times at a supermarket have mean 50 seconds and standard deviation 12 seconds. For random samples of 36 customers, SD(Xˉ)=1236=2\text{SD}(\bar{X}) = \dfrac{12}{\sqrt{36}} = 2 seconds, so P(Xˉ>53)=P(Z>1.5)≈0.0668P(\bar{X} > 53) = P(Z > 1.5) \approx 0.0668.

To estimate the mean checkout time to within 2 seconds with 95 percent confidence (taking σ=10\sigma = 10 from a pilot study): 1.96×10n≤21.96 \times \dfrac{10}{\sqrt{n}} \le 2 gives n≥96.04n \ge 96.04, so at least 97 customers are needed.

A 95 percent confidence interval means that about 95 percent of intervals built this way from repeated random samples would contain the true parameter. Wider intervals come from higher confidence or smaller samples.

Common mistakes

Where marks go missing across the topics
  • Forgetting the inner derivative in the chain rule.
  • Writing ln⁡(a+b)=ln⁡a+ln⁡b\ln(a + b) = \ln a + \ln b. There is no log law for a sum.
  • Using σ\sigma instead of σn\dfrac{\sigma}{\sqrt{n}} for a sample mean.
  • Rounding a required sample size down.
  • Giving a signed integral as an area.

Check your knowledge

  1. Differentiate y=ex2y = e^{x^2}. (Answer: 2xex22xe^{x^2}.)
  2. Solve ln⁡x+ln⁡(x−3)=ln⁡10\ln x + \ln(x - 3) = \ln 10. (Answer: x=5x = 5, since x=−2x = -2 is outside the domain.)
  3. Find ∫1e2x dx\displaystyle\int_1^e \frac{2}{x}\,dx. (Answer: 2.)

Then try the topics quiz and the mixed exam-style quiz.

Sources & how we know this

  • math-methods
  • sace
  • sace-math-methods
  • calculus
  • logarithms
  • probability
  • confidence-intervals
  • year-12
  • 2026
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