AQA S1 2010 June — Question 7 11 marks

Exam BoardAQA
ModuleS1 (Statistics 1)
Year2010
SessionJune
Marks11
PaperDownload PDF ↗
TopicConfidence intervals
TypeValidity or suitability of sample
DifficultyStandard +0.3 This is a straightforward S1 confidence interval question with standard parts: recognizing CLT applies despite non-normality, constructing a CI using given summary statistics and z-tables, and making simple comparisons to targets. The only mild challenge is part (a)(i) requiring interpretation of negative values being impossible for time data, but this is a common textbook scenario. All calculations are routine with n=80 being large enough for CLT.
Spec5.05a Sample mean distribution: central limit theorem5.05d Confidence intervals: using normal distribution

7 An ambulance control centre responds to emergency calls in a rural area. The response time, \(T\) minutes, is defined as the time between the answering of an emergency call at the centre and the arrival of an ambulance at the given location of the emergency. Response times have an unknown mean \(\mu _ { T }\) and an unknown variance.
Anita, the centre's manager, asked Peng, a student on supervised work experience, to record and summarise the values of \(T\) obtained from a random sample of 80 emergency calls. Peng's summarised results were $$\text { Mean, } \bar { t } = 6.31 \quad \text { Variance (unbiased estimate), } s ^ { 2 } = 19.3$$ Only 1 of the 80 values of \(T\) exceeded 20
  1. Anita then asked Peng to determine a confidence interval for \(\mu _ { T }\). Peng replied that, from his summarised results, \(T\) was not normally distributed and so a valid confidence interval for \(\mu _ { T }\) could not be constructed.
    1. Explain, using the value of \(\bar { t } - 2 s\), why Peng's conclusion that \(T\) was not normally distributed was likely to be correct.
    2. Explain why Peng's conclusion that a valid confidence interval for \(\mu _ { T }\) could not be constructed was incorrect.
  2. Construct a \(98 \%\) confidence interval for \(\mu _ { T }\).
  3. Anita had two targets for \(T\). These were that \(\mu _ { T } < 8\) and that \(\mathrm { P } ( T \leqslant 20 ) > 95 \%\). Indicate, with justification, whether each of these two targets was likely to have been met.
    \includegraphics[max width=\textwidth, alt={}]{c4844a30-6a86-49e3-b6aa-8e213dfc8ca1-19_2484_1707_223_155}

7 An ambulance control centre responds to emergency calls in a rural area. The response time, $T$ minutes, is defined as the time between the answering of an emergency call at the centre and the arrival of an ambulance at the given location of the emergency.

Response times have an unknown mean $\mu _ { T }$ and an unknown variance.\\
Anita, the centre's manager, asked Peng, a student on supervised work experience, to record and summarise the values of $T$ obtained from a random sample of 80 emergency calls.

Peng's summarised results were

$$\text { Mean, } \bar { t } = 6.31 \quad \text { Variance (unbiased estimate), } s ^ { 2 } = 19.3$$

Only 1 of the 80 values of $T$ exceeded 20
\begin{enumerate}[label=(\alph*)]
\item Anita then asked Peng to determine a confidence interval for $\mu _ { T }$. Peng replied that, from his summarised results, $T$ was not normally distributed and so a valid confidence interval for $\mu _ { T }$ could not be constructed.
\begin{enumerate}[label=(\roman*)]
\item Explain, using the value of $\bar { t } - 2 s$, why Peng's conclusion that $T$ was not normally distributed was likely to be correct.
\item Explain why Peng's conclusion that a valid confidence interval for $\mu _ { T }$ could not be constructed was incorrect.
\end{enumerate}\item Construct a $98 \%$ confidence interval for $\mu _ { T }$.
\item Anita had two targets for $T$. These were that $\mu _ { T } < 8$ and that $\mathrm { P } ( T \leqslant 20 ) > 95 \%$.

Indicate, with justification, whether each of these two targets was likely to have been met.

\begin{center}
\includegraphics[max width=\textwidth, alt={}]{c4844a30-6a86-49e3-b6aa-8e213dfc8ca1-19_2484_1707_223_155}
\end{center}
\end{enumerate}

\hfill \mbox{\textit{AQA S1 2010 Q7 [11]}}