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CCEA A-Level Further Mathematics A2 2 Applied Mathematics: a complete overview

A deep-dive CCEA A2 Further Maths guide to the A2 2 Applied Mathematics unit and its four optional sections: further kinematics and projectiles, momentum, impulse and collisions, circular motion and SHM, hypothesis testing and further statistics, and discrete and decision mathematics, with the section-choice rules.

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Jump to a section
  1. What this unit demands
  2. Mechanics 1: further kinematics and projectiles
  3. Mechanics 2: momentum, restitution, circular motion and SHM
  4. Statistics: distributions and hypothesis testing
  5. Discrete and decision mathematics
  6. How this unit is examined
  7. Check your knowledge

What this unit demands

A2 2 Applied Mathematics is the A2 applied unit, offered as four optional sections: Mechanics 1 (Section A), Mechanics 2 (Section B), Statistics (Section C) and Discrete and Decision Mathematics (Section D). Students answer two sections in permitted combinations (A and B, A and C, A and D, or C and D). CCEA tests confident modelling and complete, structured methods in whichever pair a centre has chosen.

This guide walks through the dot points for all four sections, then sets out the exam patterns CCEA repeats. Each topic has a matching dot-point page with practice questions; this overview ties them together. Revise only the two sections you will sit.

Mechanics 1: further kinematics and projectiles

When acceleration varies, use calculus: v=dsdtv = \frac{ds}{dt}, a=dvdta = \frac{dv}{dt}, and integrate back with constants from the conditions. In two dimensions, position, velocity and acceleration are vectors. A projectile has constant horizontal velocity and vertical acceleration g-g; apply suvat to each direction separately, linked by time.

Mechanics 2: momentum, restitution, circular motion and SHM

Momentum mvm\mathbf{v} is conserved in collisions, and impulse is the change in momentum. Newton's experimental law gives separation =e×= e \times approach, with e=1e = 1 elastic and e=0e = 0 coalescing. Circular motion needs a centripetal force mv2r=mω2r\frac{mv^2}{r} = m\omega^2 r; SHM satisfies x¨=ω2x\ddot{x} = -\omega^2 x, with maximum speed ωA\omega A and period independent of amplitude.

Statistics: distributions and hypothesis testing

The Poisson Po(λ)\text{Po}(\lambda) models random events at a constant rate (mean and variance both λ\lambda); the normal N(μ,σ2)N(\mu, \sigma^2) is standardised by Z=XμσZ = \frac{X - \mu}{\sigma}. By the Central Limit Theorem, the sample mean is N(μ,σ2n)\approx N(\mu, \frac{\sigma^2}{n}) with standard error σn\frac{\sigma}{\sqrt{n}}. A hypothesis test states H0H_0 and H1H_1, fixes a significance level, computes a statistic, compares with the critical value and concludes in context.

Discrete and decision mathematics

A network is a weighted graph. A minimum spanning tree connects all vertices cheaply by Kruskal's (edge-based) or Prim's (vertex-based) algorithm. Dijkstra's algorithm finds the shortest path by making the smallest temporary label permanent and updating neighbours. Sorting and the route-inspection problem complete the toolkit.

How this unit is examined

A typical CCEA profile for A2 2 (in your chosen sections):

  • Mechanics 1. A variable-acceleration calculus problem and a projectile question.
  • Mechanics 2. A collision with restitution and a circular-motion or SHM problem.
  • Statistics. A Poisson or normal calculation and a full hypothesis test.
  • Discrete. Running Kruskal's, Prim's or Dijkstra's algorithm with explanation.

Check your knowledge

A mix of recall and technique questions across the sections. Attempt those for your chosen sections under timed conditions, then check against the solutions.

  1. A particle has displacement s=t3ts = t^3 - t. Find its velocity at t=2t = 2. (2 marks)
  2. A projectile is launched at 20m s120\,\text{m s}^{-1} at 3030^\circ. Find its initial vertical velocity component. (1 mark)
  3. State the principle of conservation of momentum. (2 marks)
  4. State the centripetal force formula in terms of ω\omega. (1 mark)
  5. For XPo(5)X \sim \text{Po}(5), write down the variance. (1 mark)
  6. A sample of 3636 has population standard deviation 1212. Find the standard error. (2 marks)
  7. Which algorithm finds the shortest path between two vertices? (1 mark)

Sources & how we know this

  • further-mathematics
  • ccea-a-level
  • ccea-further-maths
  • a2-2-applied-mathematics
  • a-level
  • mechanics
  • statistics
  • decision-mathematics