| Exam Board | OCR |
|---|---|
| Module | H240/01 (Pure Mathematics) |
| Year | 2023 |
| Session | June |
| Marks | 12 |
| Paper | Download PDF ↗ |
| Topic | Exponential Functions |
| Type | Linear transformation to find constants |
| Difficulty | Moderate -0.3 This is a standard A-level question on exponential models using logarithmic linearization. Part (a) requires recognizing that a straight line on a log-linear plot confirms exponential growth. Part (b) involves checking that log₁₀(120) ≈ 2.08 and log₁₀(1.15) matches the gradient. Parts (c-d) are routine substitution and solving exponential equations. While multi-part, each step follows textbook procedures with no novel problem-solving required, making it slightly easier than average. |
| Spec | 1.06h Logarithmic graphs: reduce y=ax^n and y=kb^x to linear form1.06i Exponential growth/decay: in modelling context |
| Answer | Marks | Guidance |
|---|---|---|
| Answer | Marks | Guidance |
| \(\log_{10}S = \log_{10}(ab^t)\); \(\log_{10}S = \log_{10}a + \log_{10}b^t\) | M1 | Attempt to show reduction to linear form. Introduce logs on both sides and correctly split to sum of two terms |
| \(\log_{10}S = t\log_{10}b + \log_{10}a\) | A1 | Obtain correct equation. Condone no base. A0 for \(\log_{10}bt\) unless previously seen as \(t\log_{10}b\) |
| which is of the form \(Y = mX + c\) | A1 | Link to equation of straight line |
| Answer | Marks | Guidance |
|---|---|---|
| Answer | Marks | Guidance |
| \(\log_{10}S = mt + c\); \(S = 10^{mt+c}\) | M1 | Attempt equation of straight line and attempt expression for \(S\). Must use \(\log_{10}S\) against \(t\), base 10 |
| \(S = 10^{mt} \times 10^c\) | A1 | Correctly split into two terms |
| which is of the form \(S = ab^t\) | A1 | Link to exponential model |
| Answer | Marks | Guidance |
|---|---|---|
| \(m = \log_{10}b = 0.06\) so \(b = 10^{0.06} = 1.15\) | B1 | Link gradient of line of best fit to linear form and confirm \(b \approx 1.15\); allow \(m\) in range \([0.055, 0.065]\); or \(\log_{10}1.15 = 0.06\) and compare to gradient |
| \(c = \log_{10}a = 2.08\) so \(a = 10^{2.08} = 120\) | B1 | Link intercept of line of best fit to linear form and confirm \(a \approx 120\); allow \(c\) in range \([2.075, 2.085]\); or \(\log_{10}120 = 2.08\) and compare to intercept |
| Answer | Marks | Guidance |
|---|---|---|
| \(S = 120 \times 1.15^7\) | M1 | Substitute \(t = 7\) into given model; soi |
| predicted sales are 319 items | A1 | Conclude with integer value; accept 320 items |
| Answer | Marks | Guidance |
|---|---|---|
| GP with \(a = 138\) and \(r = 1.15\) | B1 | State or imply sum of GP with \(a\) as 120 or 138, and \(r\) as 1.15; could be implied by attempt to use GP sum formula |
| \(\dfrac{138(1-1.15^t)}{1-1.15} = 70000\) | M1\* | Attempt sum of GP with \(a = 120\) or 138 and \(r = 1.15\), related to 70000; must be correct sum formula; may have \(n\) not \(t\) throughout |
| \(1.15^t = 77.087\) | M1 dep\* | Attempt to rearrange equation as far as \(1.15^t =\); must now have \(a = 138\); allow sign errors only; allow T&I as not DR |
| \(t = 31.088\ldots\) hence 32 months | A1 | Obtain 32 ('months not required'); if 32 given as answer only then allow full marks |
| Answer | Marks | Guidance |
|---|---|---|
| Unlikely to be reliable as sales may not continue in same pattern as market could become saturated | B1 | State or imply that the model is unlikely to be valid, with a sensible reason; e.g. decrease in demand, increase in competition, no values beyond \(t=6\) so pattern unknown, sales likely to level off, other factors, seasonal variation |
# Question 11:
## Part (a):
| Answer | Marks | Guidance |
|--------|-------|----------|
| $\log_{10}S = \log_{10}(ab^t)$; $\log_{10}S = \log_{10}a + \log_{10}b^t$ | **M1** | Attempt to show reduction to linear form. Introduce logs on both sides and correctly split to sum of two terms |
| $\log_{10}S = t\log_{10}b + \log_{10}a$ | **A1** | Obtain correct equation. Condone no base. A0 for $\log_{10}bt$ unless previously seen as $t\log_{10}b$ |
| which is of the form $Y = mX + c$ | **A1** | Link to equation of straight line |
**Alternative method:**
| Answer | Marks | Guidance |
|--------|-------|----------|
| $\log_{10}S = mt + c$; $S = 10^{mt+c}$ | **M1** | Attempt equation of straight line and attempt expression for $S$. Must use $\log_{10}S$ against $t$, base 10 |
| $S = 10^{mt} \times 10^c$ | **A1** | Correctly split into two terms |
| which is of the form $S = ab^t$ | **A1** | Link to exponential model |
## Question 11(b):
$m = \log_{10}b = 0.06$ so $b = 10^{0.06} = 1.15$ | **B1** | Link gradient of line of best fit to linear form and confirm $b \approx 1.15$; allow $m$ in range $[0.055, 0.065]$; or $\log_{10}1.15 = 0.06$ and compare to gradient
$c = \log_{10}a = 2.08$ so $a = 10^{2.08} = 120$ | **B1** | Link intercept of line of best fit to linear form and confirm $a \approx 120$; allow $c$ in range $[2.075, 2.085]$; or $\log_{10}120 = 2.08$ and compare to intercept
**[2]**
---
## Question 11(c):
$S = 120 \times 1.15^7$ | **M1** | Substitute $t = 7$ into given model; soi
predicted sales are 319 items | **A1** | Conclude with integer value; accept 320 items
**[2]**
---
## Question 11(d)(i):
GP with $a = 138$ and $r = 1.15$ | **B1** | State or imply sum of GP with $a$ as 120 or 138, and $r$ as 1.15; could be implied by attempt to use GP sum formula
$\dfrac{138(1-1.15^t)}{1-1.15} = 70000$ | **M1\*** | Attempt sum of GP with $a = 120$ or 138 and $r = 1.15$, related to 70000; must be correct sum formula; may have $n$ not $t$ throughout
$1.15^t = 77.087$ | **M1 dep\*** | Attempt to rearrange equation as far as $1.15^t =$; must now have $a = 138$; allow sign errors only; allow T&I as not DR
$t = 31.088\ldots$ hence 32 months | **A1** | Obtain 32 ('months not required'); if 32 given as **answer only** then allow full marks
**[4]**
---
## Question 11(d)(ii):
Unlikely to be reliable as sales may not continue in same pattern as market could become saturated | **B1** | State or imply that the model is unlikely to be valid, with a sensible reason; e.g. decrease in demand, increase in competition, no values beyond $t=6$ so pattern unknown, sales likely to level off, other factors, seasonal variation
**[1]**
---
11 The owners of an online shop believe that their sales can be modelled by $S = a b ^ { t }$, where $a$ and $b$ are both positive constants, $S$ is the number of items sold in a month and $t$ is the number of complete months since starting their online shop.
The sales for the first six months are recorded, and the values of $\log _ { 10 } S$ are plotted against $t$ in the graph below. The graph is repeated in the Printed Answer Booklet.\\
\includegraphics[max width=\textwidth, alt={}, center]{9473b8f7-616a-485e-963b-696c6640ae6b-08_1203_1408_552_244}
\begin{enumerate}[label=(\alph*)]
\item Explain why the graph suggests that the given model is appropriate.
The owners believe that $a = 120$ and $b = 1.15$ are good estimates for the parameters in the model.
\item Show that the graph supports these estimates for the parameters.
\item Use the model $S = 120 \times 1.15 ^ { t }$ to predict the number of items sold in the seventh month after opening.
\item \begin{enumerate}[label=(\roman*)]
\item Use the model $S = 120 \times 1.15 ^ { t }$ to predict the number of months after opening when the total number of items sold after opening will first exceed 70000 .
\item Comment on how reliable this prediction may be.
\end{enumerate}\end{enumerate}
\hfill \mbox{\textit{OCR H240/01 2023 Q11 [12]}}