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Experimental Probability and Relative Frequency

FoundationHigherAQAEdexcel

Master Experimental Probability and Relative Frequency for GCSE Statistics with this free worksheet and full mark scheme — Foundation and Higher exam-style questions with worked answers for AQA and Edexcel. Relative frequency estimates probability from the results of trials and improves as the number of trials increases.

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These worksheets and mark schemes are original, written for Virtus Academy and checked against the current AQA and Edexcel specifications. Every worksheet comes with a full mark scheme.

Topic overview

Experimental probability is estimated from the results of trials rather than calculated from theory. It is also called relative frequency.

The formula is \(\text{relative frequency} = \frac{\text{number of times the event occurred}}{\text{total number of trials}}\).

The more trials carried out, the closer the experimental probability tends to get to the true probability. This is why a small number of trials gives an unreliable estimate. Comparing experimental with theoretical probability is how bias is detected: a large difference over many trials suggests the object is biased, though a difference over few trials proves nothing.

Revision notes

The formula

\(\text{Relative frequency} = \frac{\text{number of successes}}{\text{total number of trials}}\).

This estimates the probability from what actually happened rather than from theory. It is the only method available when outcomes are not equally likely.

Why more trials are better

As the number of trials increases, the relative frequency tends towards the true probability.

A small number of trials gives an unreliable estimate, because chance variation has a large effect. This is why questions asking how to improve an estimate expect 'carry out more trials'.

Detecting bias

Compare the experimental probability with the theoretical probability.

A large difference over many trials suggests the object is biased. A difference over few trials proves nothing, because it could easily arise by chance.

Key points

  • Experimental probability comes from trials.
  • It is also called relative frequency.
  • \(\frac{\text{successes}}{\text{total trials}}\).
  • More trials give a more reliable estimate.
  • It is the only method for biased objects.
  • Comparing with theory detects bias.

Worked examples

Example 1

A dice is rolled 200 times and shows a six 45 times. Work out the relative frequency of a six. [2 marks]

Working

\(\frac{45}{200}\)divide the number of sixes by the number of trials
\(= 0.225\)work out the relative frequency

Example 2

Explain how to improve the reliability of an experimental probability. [2 marks]

Working

Carry out a larger number of trialsstate the improvement
because the relative frequency tends towards the true probability as the number of trials increasesexplain why it works

Example 3

A fair dice should show a six with probability \(\frac{1}{6}\). The relative frequency over 600 rolls is 0.25. Comment on this. [2 marks]

Working

\(\frac{1}{6} \approx 0.167\), so 0.25 is considerably highercompare the two values
Over 600 trials this difference is large enough to suggest the dice is biased towards sixdraw the conclusion

Common mistakes

  • Confusing experimental with theoretical probability.

    Experimental comes from trials; theoretical from counting outcomes.

  • Concluding bias from few trials.

    A difference over few trials could easily arise by chance.

  • Dividing by the number of successes.

    Divide by the total number of trials.

  • Saying more trials guarantee the true probability.

    They make the estimate more reliable, not exact.

Exam tips

  • Divide by the total number of trials.
  • Say 'carry out more trials' to improve reliability.
  • Compare with theoretical probability to detect bias.
  • Note how many trials before concluding bias.

Key terms

Experimental probability
Probability estimated from trials.
Relative frequency
Another term for experimental probability.
Trial
One repetition of an experiment.
Bias
A tendency for some outcomes to be more likely.

Written and reviewed against the current AQA and Edexcel specifications. Spotted an error? Let us know.