Edexcel S2 2011 June — Question 2 10 marks

Exam BoardEdexcel
ModuleS2 (Statistics 2)
Year2011
SessionJune
Marks10
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicHypothesis test of a Poisson distribution
TypeOne-tailed test (increase or decrease)
DifficultyStandard +0.3 This is a straightforward application of Poisson hypothesis testing with clear context. Part (a) requires recognizing the Poisson model (standard for S2), part (b) is a routine one-tailed test with simple parameter conversion (36 per minute → 9 per 15s), and part (c) requires finding a critical value by testing values systematically. All techniques are standard S2 material with no novel insight required, making it slightly easier than average.
Spec5.02i Poisson distribution: random events model5.02j Poisson formula: P(X=x) = e^(-lambda)*lambda^x/x!5.02k Calculate Poisson probabilities5.02l Poisson conditions: for modelling5.05c Hypothesis test: normal distribution for population mean

2. A traffic officer monitors the rate at which vehicles pass a fixed point on a motorway. When the rate exceeds 36 vehicles per minute he must switch on some speed restrictions to improve traffic flow.
  1. Suggest a suitable model to describe the number of vehicles passing the fixed point in a 15 s interval. The traffic officer records 12 vehicles passing the fixed point in a 15 s interval.
  2. Stating your hypotheses clearly, and using a \(5 \%\) level of significance, test whether or not the traffic officer has sufficient evidence to switch on the speed restrictions.
  3. Using a \(5 \%\) level of significance, determine the smallest number of vehicles the traffic officer must observe in a 10 s interval in order to have sufficient evidence to switch on the speed restrictions.

Question 2:
Part (a)
AnswerMarks Guidance
AnswerMarks Guidance
PoissonB1 For Poisson or Po. Ignore their value for the mean
Part (b)
AnswerMarks Guidance
AnswerMarks Guidance
\(H_0: \mu = 9\) (or \(\lambda = 36\))B1 1st B1 for \(H_0: \mu/\lambda = 9\) or \(\mu/\lambda = 36\)
\(H_1: \mu > 9\) (or \(\lambda > 36\))B1 2nd B1 for \(H_1: \mu/\lambda > 9\) or \(\mu/\lambda > 36\)
\(X \sim Po(9)\) and \(P(X \geq 12) = 1 - P(X \leq 11) = 1 - 0.8030 = \underline{0.197}\) or \(P(X \leq 14) = 0.9585\), \(P(X \geq 15) = 0.0415\), \(CR\ X \geq 15\)M1 For writing or using \(1 - P(X \leq 11)\) or writing \(P(X \leq 14) = 0.9585\) or \(P(X \geq 15) = 0.0415\). May be implied by correct CR or probability \(= 0.197\)
\(0.197\) (A1 for \(0.197\) or correct CR)A1 Allow \(X > 14\). NB \(P(X \leq 11) = 0.8030\) on its own scores M1A1
\((0.197 > 0.05)\) so not significant / accept \(H_0\) / Not in CRM1d Dependent on 1st M1. For correct statement based on table
He does not have evidence to switch on the speed restrictionsA1ft Correct contextualised statement
Part (c)
AnswerMarks Guidance
AnswerMarks Guidance
Let \(Y =\) number of vehicles in 10s, then \(Y \sim Po(6)\)B1 For identifying \(Po(6)\) — may be implied by use of correct tables
Tables: \(P(Y \leq 10) = 0.9574\) so \(P(Y \geq 11) = 0.0426\), so needs \(\underline{11}\) vehiclesM1 Any one of the probs \(0.9574\) or \(0.0426\) or \(0.9799\) or \(0.0201\) may be implied by correct answer of 11
A1cao — do not accept \(X \geq 11\). NB answer of 11 with no working gains all three marks
# Question 2:

## Part (a)
| Answer | Marks | Guidance |
|--------|-------|----------|
| Poisson | B1 | For Poisson or Po. Ignore their value for the mean |

## Part (b)
| Answer | Marks | Guidance |
|--------|-------|----------|
| $H_0: \mu = 9$ (or $\lambda = 36$) | B1 | 1st B1 for $H_0: \mu/\lambda = 9$ or $\mu/\lambda = 36$ |
| $H_1: \mu > 9$ (or $\lambda > 36$) | B1 | 2nd B1 for $H_1: \mu/\lambda > 9$ or $\mu/\lambda > 36$ |
| $X \sim Po(9)$ and $P(X \geq 12) = 1 - P(X \leq 11) = 1 - 0.8030 = \underline{0.197}$ or $P(X \leq 14) = 0.9585$, $P(X \geq 15) = 0.0415$, $CR\ X \geq 15$ | M1 | For writing or using $1 - P(X \leq 11)$ or writing $P(X \leq 14) = 0.9585$ or $P(X \geq 15) = 0.0415$. May be implied by correct CR or probability $= 0.197$ |
| $0.197$ (A1 for $0.197$ or correct CR) | A1 | Allow $X > 14$. NB $P(X \leq 11) = 0.8030$ on its own scores M1A1 |
| $(0.197 > 0.05)$ so not significant / accept $H_0$ / Not in CR | M1d | Dependent on 1st M1. For correct statement based on table |
| He does not have evidence to switch on the speed restrictions | A1ft | Correct contextualised statement |

## Part (c)
| Answer | Marks | Guidance |
|--------|-------|----------|
| Let $Y =$ number of vehicles in 10s, then $Y \sim Po(6)$ | B1 | For identifying $Po(6)$ — may be implied by use of correct tables |
| Tables: $P(Y \leq 10) = 0.9574$ so $P(Y \geq 11) = 0.0426$, so needs $\underline{11}$ vehicles | M1 | Any one of the probs $0.9574$ or $0.0426$ or $0.9799$ or $0.0201$ may be implied by correct answer of 11 |
| | A1 | cao — do not accept $X \geq 11$. NB answer of 11 with no working gains all three marks |

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2. A traffic officer monitors the rate at which vehicles pass a fixed point on a motorway. When the rate exceeds 36 vehicles per minute he must switch on some speed restrictions to improve traffic flow.
\begin{enumerate}[label=(\alph*)]
\item Suggest a suitable model to describe the number of vehicles passing the fixed point in a 15 s interval.

The traffic officer records 12 vehicles passing the fixed point in a 15 s interval.
\item Stating your hypotheses clearly, and using a $5 \%$ level of significance, test whether or not the traffic officer has sufficient evidence to switch on the speed restrictions.
\item Using a $5 \%$ level of significance, determine the smallest number of vehicles the traffic officer must observe in a 10 s interval in order to have sufficient evidence to switch on the speed restrictions.
\end{enumerate}

\hfill \mbox{\textit{Edexcel S2 2011 Q2 [10]}}