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A-Level Mathematics October/November 2024 Q7(d): Use a suitable approximation to find the probability that Leno scores more than 28 goal…
A-Level Mathematics · Paper 9709/52 · October/November 2024 · Question 7(d) · [5 marks]
Use a suitable approximation to find the probability that Leno scores more than 28 goals but fewer than 35 goals.
A full-marks model answer with a mark-by-mark examiner breakdown is below.
1 answer
- accepted ✓
Let be the number of goals scored. The question requires a suitable approximation, which is the Normal distribution. From previous parts of the question, we have the parameters for the approximation.
Let .
Parameters: Mean, Variance, Standard deviation,
We want to find the probability that Leno scores more than 28 goals but fewer than 35 goals, which is . Since is a discrete variable, this is equivalent to .
Applying continuity correction for the continuous Normal distribution :
Now, we standardise the boundaries to find the -scores:
So we need to find .
This is calculated as . Using the property :
From the standard normal distribution tables:
Probability
Therefore, the probability is (to 3 s.f.).
How the marks are awarded
- B1 — Stating the correct Mean = 30 and Variance = 18. This is shown in the 'Parameters' section of the answer.
- M1 — Substituting their mean and a positive standard deviation into a standardisation formula. This is demonstrated by writing expressions like
(28.5 - 30)/√18. - M1 — Using the correct continuity corrections. The probability
P(28 < X < 35)is correctly converted to the continuous intervalP(28.5 < Y < 34.5). - M1 — Calculating the appropriate area under the curve from their z-scores. The expression
Φ(1.0607) - (1 - Φ(0.3536))shows the correct final process to find the probability between the two values. - A1 — Obtaining the final correct answer of 0.494 or anything that rounds to it (AWRT).
Common mistakes
- Forgetting to apply continuity correction and instead calculating P(28 < Y < 35), which leads to incorrect z-scores and loses marks.
- Applying the continuity correction incorrectly, for example using P(28.5 < Y < 35.5) or P(27.5 < Y < 34.5), by misinterpreting the strict inequalities '>' and '<'.
- Using the variance (18) or an incorrect root (e.g. 18²) in the standardisation formula instead of the standard deviation (√18).
- Incorrectly handling the probability for a negative z-score, for example by evaluating Φ(-0.3536) as -Φ(0.3536) instead of the correct 1 - Φ(0.3536).
Examiner tip: When approximating a discrete distribution with a Normal distribution, always apply a continuity correction of ±0.5, carefully adjusting the boundary based on whether the inequality is strict (>, <) or inclusive (≥, ≤).
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