Probabilities from experiments and statistical

Find the experimental (relative-frequency) probability of an outcome from recorded trial results, compare it against the theoretical probability of a fair model, judge how reliable an estimate is given the number of trials, and critique claims made from small or biased samples of experimental data.

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Learning objective overview

Master Teaching Guide coverage for this objective.

Current NZC (2007)
  • S5-3
New NZC (2026)
  • NZC26-P4-PRO-ETP-K-Y9-08
  • NZC26-P4-STA-INT-K-Y9-01
  • NZC26-P4-PRO-ETP-P-Y9-04
  • NZC26-P4-PRO-ETP-K-Y9-03
  • NZC26-P4-PRO-ETP-P-Y9-01
  • NZC26-P4-PRO-ETP-P-Y9-03
  • NZC26-P4-PRO-ETP-P-Y9-05
  • NZC26-P4-PRO-ETP-K-Y9-02
  • NZC26-P4-PRO-ETP-K-Y9-01

Resources

Terminology

  • Relative frequency
  • Experimental probability
  • Theoretical probability
  • Frequency table
  • Trial
  • Fair (model)
  • Estimate
  • Sample size
  • Reliability of an estimate

Task goals

  • Read a completed frequency table from a chance experiment and state the relative (experimental) frequency of a stated outcome as a fraction or decimal.
  • State the theoretical probability of an outcome for a fair model (a fair coin, die, or spinner with equally likely outcomes).
  • Calculate the experimental probability of an outcome from raw trial counts, and compare it to the theoretical probability of the same event.
  • Explain why increasing the number of trials tends to bring the experimental probability closer to the theoretical probability, and judge which of two experiments (different trial counts) gives the more reliable estimate.
  • Estimate an unknown probability from a survey or sample (e.g. defect rate, raffle-ticket win rate) using relative frequency, and use that estimate to predict an outcome in a larger population.
  • Critique a probability claim based on a small or unrepresentative sample, explaining the flaw in the reasoning (including gambler's-fallacy-style claims about independent trials).

Where this fits

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

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Probabilities from experiments and statistical

Probabilities from experiments and statistical

Know

The estimated probability of an event from an experiment is the number of times the event happens divided by the total number of trials in the experiment (i.e. the relative frequency for that event).

Statement▸
Year 9 · Probability · Experimental and theoretical probability
NZC26-P4-PRO-ETP-K-Y9-08
Know

Elements of chance affect the certainty of results from observational studies and experiments.

Statement▸
Year 9 · Statistics · Interpretation of data
NZC26-P4-STA-INT-K-Y9-01

Also under S5-3:

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