Edexcel S4 2014 June — Question 5 16 marks

Exam BoardEdexcel
ModuleS4 (Statistics 4)
Year2014
SessionJune
Marks16
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicT-tests (unknown variance)
TypeSingle sample confidence interval t-distribution
DifficultyStandard +0.3 This is a straightforward S4 question requiring standard confidence interval calculations for mean (using t-distribution) and standard deviation (using chi-squared), followed by a routine normal distribution calculation. All techniques are textbook procedures with no novel problem-solving required, though it involves multiple steps and careful handling of the chi-squared interval.
Spec5.05c Hypothesis test: normal distribution for population mean5.05d Confidence intervals: using normal distribution

5. A large company has designed an aptitude test for new recruits. The score, \(S\), for an individual taking the test, has a normal distribution with mean \(\mu\) and standard deviation \(\sigma\). In order to estimate \(\mu\) and \(\sigma\), a random sample of 15 new recruits were given the test and their scores, \(x\), are summarised as $$\sum x = 880 \quad \sum x ^ { 2 } = 54892$$
  1. Calculate a 95\% confidence interval for
    1. \(\mu\),
    2. \(\sigma\). The company wants to ensure that no more than \(80 \%\) of new recruits pass the test.
  2. Using values from your confidence intervals in part (a), estimate the lowest pass mark they should set.

Total: 16 marks
A large company has designed an aptitude test for new recruits. The score, \(S\), for an individual taking the test, has a normal distribution with mean \(\mu\) and standard deviation \(\sigma\).
In order to estimate \(\mu\) and \(\sigma\), a random sample of \(15\) new recruits were given the test and their scores, \(x\), are summarised as
\[\sum x = 880 \quad \sum x^2 = 54892\]
(a) Calculate a 95% confidence interval for
(i) \(\mu\),
(ii) \(\sigma\).
(11 marks)
The company wants to ensure that no more than \(80\%\) of new recruits pass the test.
(b) Using values from your confidence intervals in part (a), estimate the lowest pass mark they should set.
(5 marks)
**Total: 16 marks**

A large company has designed an aptitude test for new recruits. The score, $S$, for an individual taking the test, has a normal distribution with mean $\mu$ and standard deviation $\sigma$.

In order to estimate $\mu$ and $\sigma$, a random sample of $15$ new recruits were given the test and their scores, $x$, are summarised as

$$\sum x = 880 \quad \sum x^2 = 54892$$

**(a) Calculate a 95% confidence interval for**

**(i) $\mu$,**

**(ii) $\sigma$.**

(11 marks)

The company wants to ensure that no more than $80\%$ of new recruits pass the test.

**(b) Using values from your confidence intervals in part (a), estimate the lowest pass mark they should set.**

(5 marks)

---
5. A large company has designed an aptitude test for new recruits. The score, $S$, for an individual taking the test, has a normal distribution with mean $\mu$ and standard deviation $\sigma$.

In order to estimate $\mu$ and $\sigma$, a random sample of 15 new recruits were given the test and their scores, $x$, are summarised as

$$\sum x = 880 \quad \sum x ^ { 2 } = 54892$$
\begin{enumerate}[label=(\alph*)]
\item Calculate a 95\% confidence interval for
\begin{enumerate}[label=(\roman*)]
\item $\mu$,
\item $\sigma$.

The company wants to ensure that no more than $80 \%$ of new recruits pass the test.
\end{enumerate}\item Using values from your confidence intervals in part (a), estimate the lowest pass mark they should set.
\end{enumerate}

\hfill \mbox{\textit{Edexcel S4 2014 Q5 [16]}}