Probability assumptions

Understand and critically evaluate the core assumptions behind theoretical probability (fairness, equal likelihood, randomness) and recognise when these assumptions fail in real-world contexts.

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Learning objective overview

Master Teaching Guide coverage for this objective.

Current NZC (2007)
  • S5-2
New NZC (2026)
  • NZC26-P4-PRO-ETP-P-Y9-03
  • NZC26-P3-PRO-EP-K-Y7-01

Resources

  • Other: Not in Beta Textbook; no verified external resource found (Master Guide's only listed link was a bled-in Simplifying Algebraic Fractions worksheet, unrelated to this LO)

Terminology

  • probability assumptions
  • fair device
  • equally likely outcomes
  • random experiment
  • bias
  • theoretical probability
  • experimental probability
  • sample size
  • independence

Task goals

  • Identify the three core assumptions of theoretical probability: fair devices, equally likely outcomes, and random processes.
  • Explain why each assumption matters and what happens when an assumption is violated.
  • Distinguish between what is possible and what is likely in a probability context.
  • Use sample size and experimental data to judge whether evidence of bias is convincing.
  • Evaluate probability claims in real-world contexts and identify hidden or unstated assumptions.
  • Critique faulty probability reasoning and explain where the logic breaks down.

Where this fits

What leads into this objective, and where it goes next.

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Probability assumptions

Probability assumptions

Do

Comparing experimental probability (from at least 30 trials) to theoretical probability for a chance experiment, and explaining why they differ and how increasing the number of trials reduces this difference

Statement▸
Year 9 · Probability · Experimental and theoretical probability
NZC26-P4-PRO-ETP-P-Y9-03

Next

The official curriculum has no separate Year 10 statements for Probability — Year 9 Probability spans the phase. Try the Statistics strand’s Year 10 statements.

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