| Exam Board | OCR MEI |
|---|---|
| Module | Further Statistics B AS (Further Statistics B AS) |
| Year | 2019 |
| Session | June |
| Marks | 14 |
| Paper | Download PDF ↗ |
| Mark scheme | Download PDF ↗ |
| Topic | T-tests (unknown variance) |
| Type | Single sample t-test |
| Difficulty | Standard +0.3 This is a straightforward one-sample t-test with standard steps: calculate sample statistics (mean and SD from 8 values), interpret a given normality check, perform a one-tailed t-test at 5% level, and name the z-test alternative. All steps are routine applications of standard procedures with no novel problem-solving required, making it slightly easier than average for A-level Further Maths statistics. |
| Spec | 5.05c Hypothesis test: normal distribution for population mean5.06b Fit prescribed distribution: chi-squared test |
| Answer | Marks | Guidance |
|---|---|---|
| 5 | (a) | Sample mean = 262.975 |
| Sample standard deviation = 1.213 (1.2127...) | B1 |
| Answer | Marks |
|---|---|
| [2] | BC |
| Answer | Marks |
|---|---|
| (b) | Normal probability plot is roughly straight |
| Answer | Marks |
|---|---|
| distributed | E1 |
| Answer | Marks |
|---|---|
| [3] | Dep on at least one previous E |
| mark | Do not allow ‘strong |
| Answer | Marks |
|---|---|
| (c) | H : μ = 264 H : μ < 264 |
| Answer | Marks |
|---|---|
| be contaminated with another type of nylon | B1 |
| Answer | Marks |
|---|---|
| [8] | Hypotheses in words only must |
| Answer | Marks |
|---|---|
| Or 2.391 > 1.895 | No marks for Wilcoxon test |
| Answer | Marks | Guidance |
|---|---|---|
| (d) | A test based on the Normal distribution | E1 |
Question 5:
5 | (a) | Sample mean = 262.975
Sample standard deviation = 1.213 (1.2127...) | B1
B1
[2] | BC
BC
(b) | Normal probability plot is roughly straight
Very high p-value
Both suggest that the data may be Normally
distributed | E1
E1
E1
[3] | Dep on at least one previous E
mark | Do not allow ‘strong
correlation’
(c) | H : μ = 264 H : μ < 264
0 1
Where μ is the population mean melting
temperature
262.975264
Test statistic is
1.213/ 8
= 2.391
Refer to t
7
Critical value (1-tailed) at 5% level is 1.895
2.391 < 1.895 so significant (reject H )
0
Sufficient evidence to suggest that the batch might
be contaminated with another type of nylon | B1
B1
M1
A1
M1
A1
M1
A1
[8] | Hypotheses in words only must
include “population”.
For definition in context.
FT their mean and/or sd
Must be t
7
Or 2.391 > 1.895 | No marks for Wilcoxon test
unless in part (b) candidate
says ‘not Normal’
If two-tailed test used can get
all marks except first B1 with
critical value = 2.365
If critical value = 2.365 but
one-tailed test allow Max
M1A0M1E0 for last 4 marks
(d) | A test based on the Normal distribution | E1
[1]
5 A technician is investigating whether a batch of nylon 66 (a particular type of nylon) is contaminated by another type of nylon.\\
The average melting point of nylon 66 is $264 ^ { \circ } \mathrm { C }$. However, if the batch is contaminated by the other type of nylon the melting point will be lower. The melting points, in ${ } ^ { \circ } \mathrm { C }$, of a random sample of 8 pieces of nylon from the batch are as follows.\\
$\begin{array} { l l l l l l l l } 262.7 & 265.0 & 264.1 & 261.7 & 262.9 & 263.5 & 261.3 & 262.6 \end{array}$
\begin{enumerate}[label=(\alph*)]
\item Find
\begin{itemize}
\item the sample mean,
\item the sample standard deviation.
\end{itemize}
The technician produces a Normal probability plot and carries out a Kolmogorov-Smirnov test for these data as shown in Fig. 5.
\begin{figure}[h]
\begin{center}
\includegraphics[alt={},max width=\textwidth]{1db026a2-dffc-4877-b927-247fbf0e7a78-5_560_1358_982_246}
\captionsetup{labelformat=empty}
\caption{Fig. 5}
\end{center}
\end{figure}
\item Comment on what the Normal probability plot and the $p$-value of the test suggest about the data.
\item In this question you must show detailed reasoning.
Carry out a suitable test at the $5 \%$ significance level to investigate whether the batch appears to be contaminated with another type of nylon.
\item Name an alternative test that could have been carried out if the population standard deviation had been known.
\end{enumerate}
\hfill \mbox{\textit{OCR MEI Further Statistics B AS 2019 Q5 [14]}}