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YEAR 6 · PROBABILITY · 15 MIN

Larger simulations and variation

Compare relative frequencies from larger simulated experiments while recognising that random variation remains.

In this lesson

Before you start
  • Expected and observed counts
  • Equivalent fractions and percentages
01 / LEARN

Understand the idea.

A simulation copies a chance rule

A simulation uses a random process to copy a chance rule. To model a fair coin with a fair die, assign faces 1,2,3 to heads and 4,5,6 to tails. Each group then contains three equally likely faces, matching a probability of 12.

Keep that rule for every trial and record each result. Equally likely random whole numbers from 1 to 6 can replace the die. Choosing an alternating heads-tails pattern yourself would force balance and would fail to model random variation.

Compare proportions, not raw differences

Compare relative frequencies, because trial totals differ. The supplied heads proportions are 70⁢%, 54⁢% and 52⁢%. Compare each with the fair-coin prediction of 50⁢%, using the distance in percentage points rather than just the number of extra heads.

Over many repetitions, larger experiments tend to show more stable proportions. This does not guarantee that every larger result lies closer to 50⁢%. A result may move towards or away from the prediction as new random trials are added.

Supplied simulated fair-coin results
TrialsHeadsTails
20146
1005446
500260240
02 / WORKED EXAMPLES

See the method in action.

EXAMPLE 01

Compare two sample sizes

Using the supplied results, compare 20 trials with 500 trials.

Supplied simulated fair-coin results
TrialsHeadsTails
20146
1005446
500260240

Worked solution

  1. 1

    Find the heads percentage for twenty trials.

    1420=70100=70⁢%

    Divide the observed heads count by that experiment's own trial total.

  2. 2

    Find the heads percentage for five hundred trials.

    260500=52100=52⁢%

    Using a proportion allows a fair comparison with the much smaller experiment.

  3. 3

    Measure each distance from fifty percent.

    70−50=2052−50=2

    The distances are twenty and two percentage points above the fair-coin prediction.

  4. 4

    Compare the distances.

    2<20

    The five-hundred-trial result is closer to fifty percent in these supplied results.

Answer

The 500-trial result is closer to 50% in this supplied example.

EXAMPLE 02

A larger result can move away

Experiment A gives 13 heads in 25 tosses. Experiment B gives 57 heads in 100 tosses. Which is closer to 50%?

Worked solution

  1. 1

    Find Experiment A's heads percentage.

    1325=52100=52⁢%

    Multiplying both parts by four expresses the twenty-five-trial result per hundred.

  2. 2

    Find Experiment B's heads percentage.

    57100=57⁢%

    With one hundred trials, the heads count directly gives the percentage.

  3. 3

    Calculate the distances from fifty percent.

    A: 52−50=2B: 57−50=7

    A differs by two percentage points, while B differs by seven.

  4. 4

    Choose the smaller distance.

    2<7

    A is closer even though it has fewer trials; larger sample size does not guarantee a closer individual result.

Answer

A is closer, although it has fewer trials. Larger does not mean guaranteed closer.

03 / YOUR TURN

Try it yourself.

Check your understanding

To simulate a fair coin using a fair die, is using only face 6 for heads and faces 1 to 5 for tails suitable?

Show answer & reasoning

No.

One face for heads gives probability 16, while five faces for tails gives 56. These are unequal, so the rule cannot model a fair coin's two equal chances of 12.

Keep practising

6 worksheet questions · 11 marks

Read the questions online
  1. For the supplied 100-trial simulation, check that heads and tails add to the trial count.
    1 mark
    Supplied simulated fair-coin results
    TrialsHeadsTails
    20146
    1005446
    500260240
  2. Find the heads percentage in the 500-trial simulation.
    2 marks
    Supplied simulated fair-coin results
    TrialsHeadsTails
    20146
    1005446
    500260240
  3. Which supplied simulation has a heads relative frequency closest to 50⁢%?
    2 marks
    Supplied simulated fair-coin results
    TrialsHeadsTails
    20146
    1005446
    500260240
  4. A simulation cycles heads, tails, heads, tails without any random choice. Why is that unsuitable for demonstrating random variation?
    2 marks
  5. Suggest a fair-die rule to simulate an event with probability 13.
    2 marks
  6. A larger experiment records 51⁢% successes after a smaller experiment recorded 50⁢%. Does this contradict the idea that larger experiments tend to be more stable?
    2 marks
Read the worked solutions

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

  1. For the supplied 100-trial simulation, check that heads and tails add to the trial count.
    1 mark
    Supplied simulated fair-coin results
    TrialsHeadsTails
    20146
    1005446
    500260240

    The two outcomes account for every trial.

    They do: 54+46=100.
  2. Find the heads percentage in the 500-trial simulation.
    2 marks
    Supplied simulated fair-coin results
    TrialsHeadsTails
    20146
    1005446
    500260240

    260500=52100=52⁢%.

    52⁢%.
  3. Which supplied simulation has a heads relative frequency closest to 50⁢%?
    2 marks
    Supplied simulated fair-coin results
    TrialsHeadsTails
    20146
    1005446
    500260240

    Their heads percentages are 70⁢%, 54⁢% and 52⁢%.

    Their distances from 50⁢% are 20, 4 and 2 percentage points.

    The 500-trial simulation.
  4. A simulation cycles heads, tails, heads, tails without any random choice. Why is that unsuitable for demonstrating random variation?
    2 marks

    The rule forces balance rather than modelling independent random choices.

    It cannot show the variation of a genuine chance experiment.

    The outcomes are fixed in advance.
  5. Suggest a fair-die rule to simulate an event with probability 13.
    2 marks

    Two of six equally likely outcomes give 26=13.

    For example, success on faces 1 or 2; no success on 3, 4, 5 or 6.
  6. A larger experiment records 51⁢% successes after a smaller experiment recorded 50⁢%. Does this contradict the idea that larger experiments tend to be more stable?
    2 marks

    Tend to is not a guarantee for each pair of experiments.

    Random variation can move a result slightly away from the prediction.

    No.
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Curriculum reference & lesson scope

Australian Curriculum v9.0; SA Mathematics Curriculum 2026

Numerical likelihood; fractions/decimals/percentages; expected versus observed outcomes; larger simulations and variation.

Official curriculum source ↗

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