| Exam Board | OCR MEI |
|---|---|
| Module | Paper 2 (Paper 2) |
| Session | Specimen |
| Marks | 20 |
| Paper | Download PDF ↗ |
| Mark scheme | Download PDF ↗ |
| Topic | Linear regression |
| Type | Interpret features of scatter diagram |
| Difficulty | Easy -1.8 This is a statistics question requiring interpretation of graphs and basic data analysis rather than mathematical calculation. Most parts involve reading box plots/scatter plots and making simple comments about distributions, outliers, and data appropriateness—all standard GCSE/AS-level statistics skills with minimal computational or conceptual challenge. |
| Spec | 2.02f Measures of average and spread2.02g Calculate mean and standard deviation2.02h Recognize outliers |
| Country | Life expectancy at birth in 2014 |
| Ethiopia | 60.8 |
| Sweden | 81.9 |
| Answer | Marks | Guidance |
|---|---|---|
| 16 | (a) | Comment about shape of distribution for first graph |
| Answer | Marks |
|---|---|
| graph | B1 |
| Answer | Marks |
|---|---|
| [2] | 2.2b |
| 2.2b | Comments can be combined |
| Answer | Marks |
|---|---|
| spread than 2014 gets both marks | If zero scored, SC1 for “The 2014 |
| Answer | Marks | Guidance |
|---|---|---|
| 16 | (b) | (i) |
| 2014] in [at least] one country | E1 | |
| [1] | 2.2a | n |
| Answer | Marks | Guidance |
|---|---|---|
| 16 | (b) | (ii) |
| [1] | 3.5b | e |
| 16 | (b) | (iii) |
| Answer | Marks |
|---|---|
| [1] | m |
| i2.4 | e.g. [some] values of life expectancy |
| Answer | Marks | Guidance |
|---|---|---|
| 16 | (b) | (iv) |
| Answer | Marks | Guidance |
|---|---|---|
| countries and not individual people | B1 | |
| [1] | 2.4 | |
| 16 | (c) | p |
| Answer | Marks |
|---|---|
| 30.742>29.2461. | M1 |
| Answer | Marks |
|---|---|
| [3] | 1.2 |
| Answer | Marks | Guidance |
|---|---|---|
| 16 | (d) | (i) |
| Answer | Marks |
|---|---|
| (iii) | approx 60.8 - 37.5= 23.3 (years) |
| Answer | Marks |
|---|---|
| in 2014. | M1 |
| Answer | Marks |
|---|---|
| [4] | 3.1b |
| Answer | Marks |
|---|---|
| 3.2a | Attempt to estimate change in life |
| Answer | Marks | Guidance |
|---|---|---|
| 16 | (e) | (i) |
| = 56.0 (years) | M1 |
| Answer | Marks |
|---|---|
| [2] | m |
| Answer | Marks | Guidance |
|---|---|---|
| 16 | (e) | (ii) |
| Answer | Marks |
|---|---|
| it does not follow the pattern for other countries | c |
| Answer | Marks |
|---|---|
| [2] | i |
| Answer | Marks |
|---|---|
| 3.5b | E1 Reason inferred from Fig 16.4 |
| Answer | Marks | Guidance |
|---|---|---|
| 16 | (f) | p |
| Answer | Marks |
|---|---|
| 6 | M1 |
| Answer | Marks |
|---|---|
| [3] | 3.1b |
| Answer | Marks |
|---|---|
| 1.1 | e.g. draw “ y = x” on graph |
| Answer | Marks | Guidance |
|---|---|---|
| Question | AO1 | AO2 |
Question 16:
16 | (a) | Comment about shape of distribution for first graph
Comment about shape of distribution for second
graph | B1
B1
[2] | 2.2b
2.2b | Comments can be combined
e.g Both distributions negatively
skewed gets both marks
e.g. 1974 distribution has greater
spread than 2014 gets both marks | If zero scored, SC1 for “The 2014
distribution is shifted to the right of
the 1974 distribution” oe
16 | (b) | (i) | Life expectancy went down [between 1974 and
2014] in [at least] one country | E1
[1] | 2.2a | n
NOT increase in life expectancy is
negative
16 | (b) | (ii) | The box plot is not symmetrical. | B1
[1] | 3.5b | e
16 | (b) | (iii) | Not appropriate with reason | E1
c
[1] | m
i2.4 | e.g. [some] values of life expectancy
are estimates
The values of life expectancy are not
available to this level of accuracy
16 | (b) | (iv) | e
Comment about life expectancy at birth data for
countries and not individual people | B1
[1] | 2.4
16 | (c) | p
S
Use of Q3 + 1.5 × (Q3 - Q1)
15.873 + 1.5(8.9154) = 29.2461 (years)
The maximum value is an outlier as
30.742>29.2461. | M1
M1
A1
[3] | 1.2
1.1
1.1
16 | (d) | (i)
(ii)
(iii) | approx 60.8 - 37.5= 23.3 (years)
Change in life expectancy for Sweden approx 81.9 -
72.5 = 9.4 (years)
E.g. Countries with a lower life expectancy in 1974
have greater opportunity to increase life expectancy
in 2014. | M1
A1
A1
E1
[4] | 3.1b
1.1
1.1
3.2a | Attempt to estimate change in life
expectancy at birth soi.
FT 'their 37.5 between 35 - 40'
FT 'their 72.5 between 70 - 75'
OR Countries with a higher life
n
expectancy in 1974 have less
opportunity to increase life
e
expectancy in 2014.
16 | (e) | (i) | 30.98 + 0.67 × 37.4
= 56.0 (years) | M1
A1
[2] | m
3.4
1.1
16 | (e) | (ii) | E.g. Large amount of scatter at the lower values [and
South Sudan is 37.4].
e
E.g. Not having the data value could indicate that
there are problems in the country which could mean
it does not follow the pattern for other countries | c
E1
E1
[2] | i
3.5b
3.5b | E1 Reason inferred from Fig 16.4
E1 For knowing why data may be
missing
16 | (f) | p
Correct method S
Clearly explained
6 | M1
E1
A1
[3] | 3.1b
2.4
1.1 | e.g. draw “ y = x” on graph
e.g. The value on the vertical axis
must be lower than the one on the
horizontal axis
FT their correct method
Question | AO1 | AO2 | AO3(PS) | AO3(M) | Total | LDS
Fig. 16.1, Fig. 16.2 and Fig. 16.3 show some data about life expectancy, including some from the pre-release data set.
\includegraphics{figure_16_1}
\includegraphics{figure_16_2}
\includegraphics{figure_16_3}
\begin{enumerate}[label=(\alph*)]
\item Comment on the shapes of the distributions of life expectancy at birth in 2014 and 1974. [2]
\item
\begin{enumerate}[label=(\roman*)]
\item The minimum value shown in the box plot is negative. What does a negative value indicate? [1]
\item What feature of Fig 16.3 suggests that a Normal distribution would not be an appropriate model for increase in life expectancy from one year to another year? [1]
\item Software has been used to obtain the values in the table in Fig. 16.3. Decide whether the level of accuracy is appropriate. Justify your answer. [1]
\item John claims that for half the people in the world their life expectancy has improved by 10 years or more. Explain why Fig. 16.3 does not provide conclusive evidence for John's claim. [1]
\end{enumerate}
\item Decide whether the maximum increase in life expectancy from 1974 to 2014 is an outlier. Justify your answer. [3]
\end{enumerate}
Here is some further information from the pre-release data set.
\begin{tabular}{|l|c|}
\hline
Country & Life expectancy at birth in 2014 \\
\hline
Ethiopia & 60.8 \\
\hline
Sweden & 81.9 \\
\hline
\end{tabular}
\begin{enumerate}[label=(\alph*)]
\setcounter{enumi}{3}
\item
\begin{enumerate}[label=(\roman*)]
\item Estimate the change in life expectancy at birth for Ethiopia between 1974 and 2014.
\item Estimate the change in life expectancy at birth for Sweden between 1974 and 2014.
\item Give one possible reason why the answers to parts (i) and (ii) are so different. [4]
\end{enumerate}
\end{enumerate}
Fig. 16.4 shows the relationship between life expectancy at birth in 2014 and 1974.
\includegraphics{figure_16_4}
A spreadsheet gives the following linear model for all the data in Fig 16.4.
(Life expectancy at birth 2014) = 30.98 + 0.67 × (Life expectancy at birth 1974)
The life expectancy at birth in 1974 for the region that now constitutes the country of South Sudan was 37.4 years. The value for this country in 2014 is not available.
\begin{enumerate}[label=(\alph*)]
\setcounter{enumi}{4}
\item
\begin{enumerate}[label=(\roman*)]
\item Use the linear model to estimate the life expectancy at birth in 2014 for South Sudan. [2]
\item Give two reasons why your answer to part (i) is not likely to be an accurate estimate for the life expectancy at birth in 2014 for South Sudan. You should refer to both information from Fig 16.4 and your knowledge of the large data set. [2]
\end{enumerate}
\item In how many of the countries represented in Fig. 16.4 did life expectancy drop between 1974 and 2014? Justify your answer. [3]
\end{enumerate}
\hfill \mbox{\textit{OCR MEI Paper 2 Q16 [20]}}