Edexcel S3 2018 Specimen — Question 3 11 marks

Exam BoardEdexcel
ModuleS3 (Statistics 3)
Year2018
SessionSpecimen
Marks11
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicHypothesis test of a Poisson distribution
TypeComment on test validity or assumptions
DifficultyStandard +0.3 This is a standard chi-squared goodness-of-fit test for a Poisson distribution with straightforward calculations. Part (a) is routine mean calculation, part (b) uses basic Poisson probability formula, and part (c) follows a standard hypothesis testing procedure. While it requires multiple steps and understanding of the Poisson model, it's a textbook application with no novel problem-solving required, making it slightly easier than average.
Spec2.02g Calculate mean and standard deviation5.02i Poisson distribution: random events model5.06b Fit prescribed distribution: chi-squared test

3. The number of accidents on a particular stretch of motorway was recorded each day for 200 consecutive days. The results are summarised in the following table.
Number of accidents012345
Frequency4757463596
  1. Show that the mean number of accidents per day for these data is 1.6 A motorway supervisor believes that the number of accidents per day on this stretch of motorway can be modelled by a Poisson distribution. She uses the mean found in part (a) to calculate the expected frequencies for this model. Her results are given in the following table.
    Number of accidents012345 or more
    Frequency40.3864.61\(r\)27.5711.03\(s\)
  2. Find the value of \(r\) and the value of \(s\), giving your answers to 2 decimal places.
  3. Stating your hypotheses clearly, use a \(10 \%\) level of significance to test the motorway supervisor's belief. Show your working clearly.

3. The number of accidents on a particular stretch of motorway was recorded each day for 200 consecutive days. The results are summarised in the following table.

\begin{center}
\begin{tabular}{ | c | c | c | c | c | c | c | }
\hline
Number of accidents & 0 & 1 & 2 & 3 & 4 & 5 \\
\hline
Frequency & 47 & 57 & 46 & 35 & 9 & 6 \\
\hline
\end{tabular}
\end{center}
\begin{enumerate}[label=(\alph*)]
\item Show that the mean number of accidents per day for these data is 1.6

A motorway supervisor believes that the number of accidents per day on this stretch of motorway can be modelled by a Poisson distribution.

She uses the mean found in part (a) to calculate the expected frequencies for this model. Her results are given in the following table.

\begin{center}
\begin{tabular}{ | c | c | c | c | c | c | c | }
\hline
Number of accidents & 0 & 1 & 2 & 3 & 4 & 5 or more \\
\hline
Frequency & 40.38 & 64.61 & $r$ & 27.57 & 11.03 & $s$ \\
\hline
\end{tabular}
\end{center}
\item Find the value of $r$ and the value of $s$, giving your answers to 2 decimal places.
\item Stating your hypotheses clearly, use a $10 \%$ level of significance to test the motorway supervisor's belief. Show your working clearly.\\

\begin{center}

\end{center}
\end{enumerate}

\hfill \mbox{\textit{Edexcel S3 2018 Q3 [11]}}