OCR FS1 AS 2018 March — Question 2 6 marks

Exam BoardOCR
ModuleFS1 AS (Further Statistics 1 AS)
Year2018
SessionMarch
Marks6
TopicContinuous Uniform Random Variables
TypeFind parameters from given statistics
DifficultyStandard +0.3 This question tests standard properties of Poisson and uniform distributions with straightforward calculations. Part (i)(a) requires recalling that SD = √mean for Poisson; part (i)(b) involves scaling the parameter and using tables; part (ii) requires finding N from E(W) = (1+N)/2 = 6.5, then calculating a simple probability. All steps are routine applications of formulas with no problem-solving insight required, making it slightly easier than average.
Spec5.02e Discrete uniform distribution5.02i Poisson distribution: random events model5.02j Poisson formula: P(X=x) = e^(-lambda)*lambda^x/x!5.02k Calculate Poisson probabilities

2 The number of calls received by a customer service department in 30 minutes is denoted by \(W\). It is known that \(\mathrm { E } ( W ) = 6.5\).
  1. It is given that \(W\) has a Poisson distribution.
    1. Write down the standard deviation of \(W\).
    2. Find the probability that the total number of calls received in a randomly chosen period of 2 hours is less than 30 .
    3. It is given instead that \(W\) has a uniform distribution on \([ 1 , N ]\). Calculate the value of \(\mathrm { P } ( W > 3 )\).

Part (i)(a)
AnswerMarks Guidance
\(\sqrt{6.5}\) or \(2.5495\ldots\)B1 Exact or awrt 2.55
Part (i)(b)
AnswerMarks Guidance
\(\text{Po}(26)\)M1 Stated or implied
For using Po(26) and 29 or 30M1 soi
\(P(< 30) = 0.759(26\ldots)\)A1 Awrt 0.759
Part (ii)
AnswerMarks Guidance
\(N = 12\)M1 2.2a
\(P(> 3) = \frac{9}{12} = \frac{3}{4}\) or \(0.75\)A1 1.1
### Part (i)(a)
$\sqrt{6.5}$ or $2.5495\ldots$ | **B1** | Exact or awrt 2.55

### Part (i)(b)
$\text{Po}(26)$ | **M1** | Stated or implied

For using Po(26) and 29 or 30 | **M1** | soi

$P(< 30) = 0.759(26\ldots)$ | **A1** | Awrt 0.759

### Part (ii)
$N = 12$ | **M1** | 2.2a

$P(> 3) = \frac{9}{12} = \frac{3}{4}$ or $0.75$ | **A1** | 1.1 | SC: $N = 13$, $P(> 3) = \frac{9}{13}$; B1

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2 The number of calls received by a customer service department in 30 minutes is denoted by $W$. It is known that $\mathrm { E } ( W ) = 6.5$.\\
(i) It is given that $W$ has a Poisson distribution.
\begin{enumerate}[label=(\alph*)]
\item Write down the standard deviation of $W$.
\item Find the probability that the total number of calls received in a randomly chosen period of 2 hours is less than 30 .\\
(ii) It is given instead that $W$ has a uniform distribution on $[ 1 , N ]$. Calculate the value of $\mathrm { P } ( W > 3 )$.
\end{enumerate}

\hfill \mbox{\textit{OCR FS1 AS 2018 Q2 [6]}}