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Year 9 · Probability · 14 min

Interpreting results

Interpret calculations and trial data without turning estimates or streaks into certainty.

01 / LEARN

The idea, step by step

State what the evidence describes

A result of 32 successes in 100 trials gives relative frequency 0.32. Applying this to future trials assumes similar conditions. It does not guarantee the next outcome or an exact count in the next hundred.

Before comparing experiments, check the event definition, rules, equipment, sample size and recording method. A large sample from the wrong experiment can still answer the wrong question.

Give a conclusion and its limit

A useful conclusion gives an estimate, compares it with a model and states a limitation. For example, 0.32 is near 1/3, so the difference may be random variation; repeat with more correctly conducted trials before making a stronger claim.

After a losing streak, a success is not due if trials are independent and probabilities unchanged. Also, a short run matching a fair-model prediction does not prove a device fair.

A common trap

A long losing streak increases the next-win chance.

Instead: With independent trials and unchanged rules, the next probability stays the same.

02 / WORKED EXAMPLES

See the thinking

Example 1

Unequal sample sizes

Group A has 8 successes in 20 trials; B has 54 in 100. Compare rates and combine them.

  1. A: 8⁢/20=0.40; B: 54⁢/100=0.54.
  2. Combined: (8+54)⁢/⁢(20+100)=62⁢/120.
  3. The unweighted mean 0.47 gives equal weight to unequal samples and is unsuitable here.
Combined estimate 31⁢/60≈0.517.
Example 2

A losing streak

A fair independent coin gives T five times. Sam says H is more likely next. Assess this.

  1. Past outcomes do not change the two equally likely results of the next toss.
  2. Independence keeps P(H) at 1/2.
The claim is unsupported; P(H next) remains 1⁢/2.

Check your understanding

A model predicts 25 successes per 100 trials on average. A sample gives 23. Must the model be wrong?

Show answer

No.

The expected count is not fixed, so small differences can arise by chance.

03 / WORKSHEET

Your turn

6 questions · 12 marks · Work at your own pace.

Read the questions online
  1. A game has win probability 0.2. After four losses, what is the chance of the next independent win?
    1 mark
  2. A device gives 48 successes in 150 trials. State the observed relative frequency.
    1 mark
  3. Two reports give 18 and 25 successes but no trial totals. What is missing for a fair rate comparison?
    2 marks
  4. Two groups report 12 successes in 40 trials and 28 in 60. Find the combined estimate.
    2 marks
  5. A simulation replaces counters, but the real game keeps the first out. Can its result be used unchanged?
    3 marks
  6. A model probability is 1/3. An experiment gives 31 successes in 90 trials. Write a conclusion with a limitation.
    3 marks
Read the worked solutions

Equivalent correct methods earn the corresponding marks. Include units where asked.

  1. A game has win probability 0.2. After four losses, what is the chance of the next independent win?
    1 mark

    The unchanged independent trial has the same chance.

    0.2
  2. A device gives 48 successes in 150 trials. State the observed relative frequency.
    1 mark

    48⁢/150=0.32.

    0.32
  3. Two reports give 18 and 25 successes but no trial totals. What is missing for a fair rate comparison?
    2 marks

    Counts alone do not show proportions.

    The number of trials in each experiment.
  4. Two groups report 12 successes in 40 trials and 28 in 60. Find the combined estimate.
    2 marks

    12+28=40 successes in 40+60=100 trials.

    0.40
  5. A simulation replaces counters, but the real game keeps the first out. Can its result be used unchanged?
    3 marks

    Without replacement, the remaining counts change.

    Update the collection within each trial.

    No; it models different second-draw probabilities.
  6. A model probability is 1/3. An experiment gives 31 successes in 90 trials. Write a conclusion with a limitation.
    3 marks

    31⁢/90≈0.344.

    Compare with 0.333... and recommend more correctly conducted trials rather than claiming proof.

    The estimate is about 0.344, close to 1/3; finite-sample variation remains.
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Curriculum reference & lesson scope

Australian Curriculum v9 / SA Curriculum Mathematics

Year 9 compound-event sample spaces, probabilities, experiments and simulations.

Official curriculum source ↗
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