OCR MEI Paper 3 2018 June — Question 5 11 marks

Exam BoardOCR MEI
ModulePaper 3 (Paper 3)
Year2018
SessionJune
Marks11
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicExponential Functions
TypeLinear transformation to find constants
DifficultyModerate -0.3 This is a standard A-level question on linearising exponential models through logarithms. Part (i) is routine algebraic manipulation, part (ii) requires reading a graph and using y=mx+c, part (iii) is straightforward substitution and solving, and part (iv) asks for a contextual comment. All techniques are well-practiced with no novel problem-solving required, making it slightly easier than average.
Spec1.02z Models in context: use functions in modelling1.06h Logarithmic graphs: reduce y=ax^n and y=kb^x to linear form

5 A social media website launched on 1 January 2017. The owners of the website report the number of users the site has at the start of each month. They believe that the relationship between the number of users, \(n\), and the number of months after launch, \(t\), can be modelled by \(n = a \times 2 ^ { k t }\) where \(a\) and \(k\) are constants.
  1. Show that, according to the model, the graph of \(\log _ { 10 } n\) against \(t\) is a straight line.
  2. Fig. 5 shows a plot of the values of \(t\) and \(\log _ { 10 } n\) for the first seven months. The point at \(t = 1\) is for 1 February 2017, and so on. \begin{figure}[h]
    \includegraphics[alt={},max width=\textwidth]{31bc8bde-8d37-4e97-94e2-e3e73aab55e9-6_831_1442_609_388} \captionsetup{labelformat=empty} \caption{Fig. 5}
    \end{figure} Find estimates of the values of \(a\) and \(k\).
  3. The owners of the website wanted to know the date on which they would report that the website had half a million users. Use the model to estimate this date.
  4. Give a reason why the model may not be appropriate for large values of \(t\).

Question 5(i):
AnswerMarks Guidance
AnswerMarks Guidance
\(\log_{10} n = \log_{10} a + kt\log_{10} 2\)M1 AO 1.1a
This is of form \(y = mx + c\) [with \(\log_{10} n\) as \(y\) and \(t\) as \(x\)]E1 [2] AO 1.1
Question 5(ii):
AnswerMarks Guidance
AnswerMarks Guidance
Reasonable line of best fit drawn (by eye)B1 AO 1.1a
Suitable method leading to \(a\) value e.g. use of intercept leading to \(0.9 < \log a < 1.2\), so \(7.4 < a < 15.85\)M1 AO 2.2a
Suitable method leading to \(k\) value e.g. \(k\log_{10} 2 =\) gradient \(\approx 0.33\)M1 AO 1.1
\(k\) in range \(0 < k < 1.25\) and \(a\) in range \(7.4 < a < 15.85\)A1 [4] AO 2.2a
Question 5(iii):
AnswerMarks Guidance
AnswerMarks Guidance
\(500000 = 10 \times 2^{1.1t}\)M1 AO 3.4
\(1.1t\log 2 = \log 50000\)
\(t = 14.2\)A1 AO 1.1
\(t = 14\) is \(1/3/18\)M1 AO 3.4
So \(1/4/18\)A1 [4] AO 3.2a
Question 5(iv):
AnswerMarks Guidance
AnswerMarks Guidance
Suitable reason e.g. the data are only for a short time scale and cannot extrapolate; e.g. there will not be enough people for the growth to continueE1 [1] AO 3.5b
## Question 5(i):

| Answer | Marks | Guidance |
|--------|-------|----------|
| $\log_{10} n = \log_{10} a + kt\log_{10} 2$ | M1 | AO 1.1a | AG Allow $t\log 2^k$ |
| This is of form $y = mx + c$ [with $\log_{10} n$ as $y$ and $t$ as $x$] | E1 [2] | AO 1.1 | |

## Question 5(ii):

| Answer | Marks | Guidance |
|--------|-------|----------|
| Reasonable line of best fit drawn (by eye) | B1 | AO 1.1a | With $0.9 < c < 1.2$ |
| Suitable method leading to $a$ value e.g. use of intercept leading to $0.9 < \log a < 1.2$, so $7.4 < a < 15.85$ | M1 | AO 2.2a | May use 2 points from line or condone use of 2 given points |
| Suitable method leading to $k$ value e.g. $k\log_{10} 2 =$ gradient $\approx 0.33$ | M1 | AO 1.1 | Finding gradient of line or sub'n of $t$ and $\log n$ |
| $k$ in range $0 < k < 1.25$ and $a$ in range $7.4 < a < 15.85$ | A1 [4] | AO 2.2a | If gradient of exactly 1/3 used $k = 1.10730936...$ |

## Question 5(iii):

| Answer | Marks | Guidance |
|--------|-------|----------|
| $500000 = 10 \times 2^{1.1t}$ | M1 | AO 3.4 | Correct substitution |
| $1.1t\log 2 = \log 50000$ | | | |
| $t = 14.2$ | A1 | AO 1.1 | Value of $t$ (FT their $a$ and $k$); For $k=1.10730936...$, $t=14.1$, same answer |
| $t = 14$ is $1/3/18$ | M1 | AO 3.4 | Translation into date |
| So $1/4/18$ | A1 [4] | AO 3.2a | Rounding up |

## Question 5(iv):

| Answer | Marks | Guidance |
|--------|-------|----------|
| Suitable reason e.g. the data are only for a short time scale and cannot extrapolate; e.g. there will not be enough people for the growth to continue | E1 [1] | AO 3.5b | |
5 A social media website launched on 1 January 2017. The owners of the website report the number of users the site has at the start of each month. They believe that the relationship between the number of users, $n$, and the number of months after launch, $t$, can be modelled by $n = a \times 2 ^ { k t }$ where $a$ and $k$ are constants.\\
(i) Show that, according to the model, the graph of $\log _ { 10 } n$ against $t$ is a straight line.\\
(ii) Fig. 5 shows a plot of the values of $t$ and $\log _ { 10 } n$ for the first seven months. The point at $t = 1$ is for 1 February 2017, and so on.

\begin{figure}[h]
\begin{center}
  \includegraphics[alt={},max width=\textwidth]{31bc8bde-8d37-4e97-94e2-e3e73aab55e9-6_831_1442_609_388}
\captionsetup{labelformat=empty}
\caption{Fig. 5}
\end{center}
\end{figure}

Find estimates of the values of $a$ and $k$.\\
(iii) The owners of the website wanted to know the date on which they would report that the website had half a million users. Use the model to estimate this date.\\
(iv) Give a reason why the model may not be appropriate for large values of $t$.

\hfill \mbox{\textit{OCR MEI Paper 3 2018 Q5 [11]}}