AQA S2 2011 January — Question 3 11 marks

Exam BoardAQA
ModuleS2 (Statistics 2)
Year2011
SessionJanuary
Marks11
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicSum of Poisson processes
TypeJoint probability of independent events
DifficultyStandard +0.3 This is a straightforward application of Poisson distribution formulas with standard calculations. Part (a) requires basic Poisson probability calculations and independence assumption; part (b) tests understanding of independence; part (c) involves scaling Poisson parameters and using normal approximation. All techniques are routine for S2 level with no novel problem-solving required, making it slightly easier than average.
Spec5.02j Poisson formula: P(X=x) = e^(-lambda)*lambda^x/x!5.02k Calculate Poisson probabilities5.02n Sum of Poisson variables: is Poisson

3 Lucy is the captain of her school's cricket team.
The number of catches, \(X\), taken by Lucy during any particular cricket match may be modelled by a Poisson distribution with mean 0.6 . The number of run-outs, \(Y\), effected by Lucy during any particular cricket match may be modelled by a Poisson distribution with mean 0.15 .
  1. Find:
    1. \(\mathrm { P } ( X \leqslant 1 )\);
    2. \(\mathrm { P } ( X \leqslant 1\) and \(Y \geqslant 1 )\).
  2. State the assumption that you made in answering part (a)(ii).
  3. During a particular season, Lucy plays in 16 cricket matches.
    1. Calculate the probability that the number of catches taken by Lucy during this season is exactly 10 .
    2. Determine the probability that the total number of catches taken and run-outs effected by Lucy during this season is at least 15 .

3 Lucy is the captain of her school's cricket team.\\
The number of catches, $X$, taken by Lucy during any particular cricket match may be modelled by a Poisson distribution with mean 0.6 .

The number of run-outs, $Y$, effected by Lucy during any particular cricket match may be modelled by a Poisson distribution with mean 0.15 .
\begin{enumerate}[label=(\alph*)]
\item Find:
\begin{enumerate}[label=(\roman*)]
\item $\mathrm { P } ( X \leqslant 1 )$;
\item $\mathrm { P } ( X \leqslant 1$ and $Y \geqslant 1 )$.
\end{enumerate}\item State the assumption that you made in answering part (a)(ii).
\item During a particular season, Lucy plays in 16 cricket matches.
\begin{enumerate}[label=(\roman*)]
\item Calculate the probability that the number of catches taken by Lucy during this season is exactly 10 .
\item Determine the probability that the total number of catches taken and run-outs effected by Lucy during this season is at least 15 .
\end{enumerate}\end{enumerate}

\hfill \mbox{\textit{AQA S2 2011 Q3 [11]}}