Study guide

H2 Maths Discrete Random Variables | Free Notes

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H2 Maths discrete random variables notes: key formulas for expectation, variance, and binomial distribution with step-by-step exam solutions.

Marcus Pang
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Marcus Pang·Managing Director (Maths)

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  1. Quick distribution map
  2. Core Concepts
  3. Binomial Model
  4. Custom PMFs
Q: What does H2 Maths Notes (JC 1-2): 6.2) Discrete Random Variables cover?
A: Expectation, variance, binomial modelling, and calculator workflows for H2 discrete distributions.
Study cadence
Re-derive the expectation and variance formulas from first principles once per week so you remember why each term appears. Keep a small table template in your notes for probability mass functions (PMFs) so you can slot in values quickly during exams.

Quick distribution map

If you have...Walk away with thisFirst action
1 secondA discrete random variable counts possible outcomes.List the values it can take.
10 secondsExpectation is the long-run average.Multiply each value by its probability.
100 secondsBinomial questions need fixed trials, constant probability, independence, and success/failure outcomes.Check the four conditions before using the formula.

Concrete example: If 12 candidates each independently accept with probability 0.3, the number who accept is binomial. If one acceptance affects another, it is not.

Status: SEAB's current H2 Mathematics (9758) syllabus PDF is labelled for 2026. Topic 6.2 is assessed in Paper 2 Section B (Probability and Statistics, 60 marks) and focuses on discrete distributions and the binomial model.


Core Concepts

  • A discrete random variable X X