Edexcel S2 2010 January — Question 5 9 marks

Exam BoardEdexcel
ModuleS2 (Statistics 2)
Year2010
SessionJanuary
Marks9
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicPoisson distribution
TypeSingle period normal approximation - scaled period (normal approximation only)
DifficultyStandard +0.3 This is a straightforward application of Poisson distribution with normal approximation. Part (a) requires calculating a Poisson probability with λ=10, which is routine. Part (b) involves recognizing when to use normal approximation (large λ=40) and applying continuity correction—standard S2 material requiring minimal problem-solving beyond following the established procedure.
Spec2.04d Normal approximation to binomial2.04e Normal distribution: as model N(mu, sigma^2)2.04f Find normal probabilities: Z transformation5.02i Poisson distribution: random events model5.02j Poisson formula: P(X=x) = e^(-lambda)*lambda^x/x!5.02k Calculate Poisson probabilities

  1. A café serves breakfast every morning. Customers arrive for breakfast at random at a rate of 1 every 6 minutes.
Find the probability that
  1. fewer than 9 customers arrive for breakfast on a Monday morning between 10 am and 11 am. The café serves breakfast every day between 8 am and 12 noon.
  2. Using a suitable approximation, estimate the probability that more than 50 customers arrive for breakfast next Tuesday.

AnswerMarks Guidance
(a) \(X \sim \text{Po}(10)\)B1 \(P(X < 9) = P(X \leq 8) = 0.3328\)
(b) \(Y \sim \text{Po}(40)\)B1 \(Y\) is approximately \(N(40, 40)\)
Total [9]
**(a)** $X \sim \text{Po}(10)$ | B1 | $P(X < 9) = P(X \leq 8) = 0.3328$ | M1 A1 | (3 marks)

**(b)** $Y \sim \text{Po}(40)$ | B1 | $Y$ is approximately $N(40, 40)$ | M1 A1 | $P(Y > 50) = 1 - P(Y \leq 50) = 1 - P\left(Z < \frac{50.5 - 40}{\sqrt{40}}\right) = 1 - P(Z < 1.660\ldots) = 1 - 0.9515 = 0.0485$ | M1 M1 A1 | (6 marks)

| **Total [9]**

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\begin{enumerate}
  \item A café serves breakfast every morning. Customers arrive for breakfast at random at a rate of 1 every 6 minutes.
\end{enumerate}

Find the probability that\\
(a) fewer than 9 customers arrive for breakfast on a Monday morning between 10 am and 11 am.

The café serves breakfast every day between 8 am and 12 noon.\\
(b) Using a suitable approximation, estimate the probability that more than 50 customers arrive for breakfast next Tuesday.\\

\hfill \mbox{\textit{Edexcel S2 2010 Q5 [9]}}