CAIE S2 2005 November — Question 6 10 marks

Exam BoardCAIE
ModuleS2 (Statistics 2)
Year2005
SessionNovember
Marks10
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicPoisson distribution
TypeFinding minimum stock level for demand
DifficultyStandard +0.3 This is a straightforward application of Poisson distribution with standard probability calculations. Part (i) is direct formula substitution, part (ii) requires P(X>4)=1-P(X≤4) using tables, and part (iii) involves systematic trial with cumulative probabilities until finding the threshold—routine for S2 level with no conceptual challenges beyond following the method.
Spec5.02i Poisson distribution: random events model5.02j Poisson formula: P(X=x) = e^(-lambda)*lambda^x/x!5.02k Calculate Poisson probabilities

6 A shopkeeper sells electric fans. The demand for fans follows a Poisson distribution with mean 3.2 per week.
  1. Find the probability that the demand is exactly 2 fans in any one week.
  2. The shopkeeper has 4 fans in his shop at the beginning of a week. Find the probability that this will not be enough to satisfy the demand for fans in that week.
  3. Given instead that he has \(n\) fans in his shop at the beginning of a week, find, by trial and error, the least value of \(n\) for which the probability of his not being able to satisfy the demand for fans in that week is less than 0.05 .

AnswerMarks Guidance
(i) \(P(2) = e^{-2.2} \times \frac{2.2^2}{2} = 0.209\)M1, A1 (2 marks) For a Poisson attempt; For correct answer
(ii) \(P(X > 4) = 1 - P(X = 0,1,2,3,4) = 1 - e^{-2.2}(1 + 3.2 + 3.2^2/2 + 3.2^3/6 + 3.2^4/24)\)M1, M1, A1, A1 (4 marks) For realising that \(P(X > 4)\) is required; For an attempt to evaluate this probability as \(1 - ...\); For correct unsimplified expression; Correct answer
\(= 0.219\)
AnswerMarks Guidance
(iii) by trial and error \(P(X > 5) = 0.105\), \(P(X > 6) = 0.0446\) which is < 5%, \(n = 6\)M1, A1, M1, A1 (4 marks) For any sensible attempt; For finding correct \(P(X > 5)\); For finding correct \(P(X > 6)\); Correct answer
**(i)** $P(2) = e^{-2.2} \times \frac{2.2^2}{2} = 0.209$ | M1, A1 (2 marks) | For a Poisson attempt; For correct answer

**(ii)** $P(X > 4) = 1 - P(X = 0,1,2,3,4) = 1 - e^{-2.2}(1 + 3.2 + 3.2^2/2 + 3.2^3/6 + 3.2^4/24)$ | M1, M1, A1, A1 (4 marks) | For realising that $P(X > 4)$ is required; For an attempt to evaluate this probability as $1 - ...$; For correct unsimplified expression; Correct answer

$= 0.219$

**(iii)** by trial and error $P(X > 5) = 0.105$, $P(X > 6) = 0.0446$ which is < 5%, $n = 6$ | M1, A1, M1, A1 (4 marks) | For any sensible attempt; For finding correct $P(X > 5)$; For finding correct $P(X > 6)$; Correct answer

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6 A shopkeeper sells electric fans. The demand for fans follows a Poisson distribution with mean 3.2 per week.\\
(i) Find the probability that the demand is exactly 2 fans in any one week.\\
(ii) The shopkeeper has 4 fans in his shop at the beginning of a week. Find the probability that this will not be enough to satisfy the demand for fans in that week.\\
(iii) Given instead that he has $n$ fans in his shop at the beginning of a week, find, by trial and error, the least value of $n$ for which the probability of his not being able to satisfy the demand for fans in that week is less than 0.05 .

\hfill \mbox{\textit{CAIE S2 2005 Q6 [10]}}