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GCSE/Mathematics/Edexcel

P2Apply randomness, fairness and equally likely events to expected outcomes

Notes

Randomness, fairness, and expected frequency

For a fair experiment, all outcomes are equally likely. P(any single outcome) = 1 ÷ (number of outcomes).

Equally likely outcomes

A fair six-sided dice: P(any face) = 1/6. A fair coin: P(H) = P(T) = 1/2. A spinner with 8 equal sectors: P(any sector) = 1/8.

For a fair pack of 52 cards: P(any specific card) = 1/52; P(red) = 26/52 = 1/2; P(king) = 4/52 = 1/13.

Expected frequency

Expected frequency = probability × number of trials.

Worked example: a fair coin tossed 200 times. Expected number of heads = 1/2 × 200 = 100.

Real vs theoretical frequency

If you actually toss the coin 200 times, you might get 96 heads, not 100. The theoretical expectation is 100; the actual frequency (P5) is what you observe.

Edexcel often phrases:

  • "How many times would you expect to roll a 5 in 60 throws?" — expected frequency.
  • "Janet rolls a dice 60 times and gets a 5 fifteen times. Is the dice fair?" — comparison of observed to expected.

Bias

A coin is biased if outcomes are not equally likely. The probability of an outcome from a biased experiment must be estimated empirically (P3 — relative frequency).

If observed P(H) ≈ 0.65 over many tosses, the coin is biased toward heads. Expected heads in 200 tosses = 0.65 × 200 = 130 (not 100).

Edexcel exam tip

Read carefully whether the experiment is fair (use theoretical probability) or biased (use given relative frequency).

For "expected" answers, give the calculated number — even if it isn't a whole integer. (You'd expect 16.67 heads from 50 tosses of a 1/3-bias coin; that's the right answer, even though you can't have a fractional head.)

Common Edexcel question pattern

A fair dice is rolled 90 times. (a) How many times would you expect a 6 to appear? (b) The dice was actually rolled and a 6 came up 22 times. Comment on whether the dice is fair.

(a) 1/6 × 90 = 15 times. (b) Observed 22, expected 15. Higher than expected, but small samples vary; insufficient evidence on its own that the dice is biased.

Common mistakesCommon errors

  1. Confusing fair and biased — assuming equal probability when given clear evidence of bias.
  2. Forgetting to multiply by trials when computing expected frequency.
  3. Treating "P(at least one)" as a single equally-likely outcome.

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Practice questions

Try each before peeking at the worked solution.

  1. Question 15 marks

    Expected frequency from a fair experiment

    Edexcel Paper 1F (non-calculator)

    A fair dice is rolled 240 times.

    (a) Find the expected number of times the dice will show:
    (i) a 4 (1 mark)
    (ii) an even number (2 marks)
    (iii) a number greater than 4 (2 marks)

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  2. Question 24 marks

    Expected frequency with a biased coin

    Edexcel Paper 2F (calculator)

    A biased coin has P(heads) = 0.35.
    The coin is tossed 800 times.

    (a) Calculate the expected number of heads. (2 marks)
    (b) Calculate the expected number of tails. (2 marks)

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  3. Question 34 marks

    Compare observed to expected — fairness

    Edexcel Paper 1F

    A spinner has 5 equal sectors numbered 1 to 5. The spinner is spun 100 times. The results are:

    NumberFrequency
    118
    222
    317
    426
    517

    (a) If the spinner is fair, what is the expected frequency for each number? (1 mark)
    (b) Comment on whether the spinner appears fair. Refer to the data. (3 marks)

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Flashcards

P2 — Apply randomness, fairness and equally likely events to expected outcomes

7-card SR deck for Edexcel GCSE Mathematics (1MA1) — Leaves topic P2

7 cards · spaced repetition (SM-2)