| Exam Board | Edexcel |
|---|---|
| Module | S2 (Statistics 2) |
| Year | 2024 |
| Session | October |
| Paper | Download PDF ↗ |
| Topic | Hyperbolic functions |
| Type | Prove hyperbolic identity from exponentials |
| Difficulty | Standard +0.3 This is a standard S2 PDF question requiring routine integration and probability calculations. While multi-part with several steps, each component uses straightforward techniques: finding constants from continuity/area conditions, computing variance via integration, finding quartiles by solving cumulative distribution equations, and verifying a probability claim. No novel insight required, just systematic application of A-level statistics methods. |
| Spec | 5.03a Continuous random variables: pdf and cdf5.03b Solve problems: using pdf5.03c Calculate mean/variance: by integration |
| Answer | Marks | Guidance |
|---|---|---|
| (a) | \(\frac{1}{2} \times 8 \times 4a = 1 \Rightarrow a = \frac{1}{16}\) * | B1* |
| or \(\int_{[0]}^{[4]} ax \, dx = 0.5 \Rightarrow \left[\frac{ax^2}{2}\right]_0 = 0.5 \Rightarrow a = \frac{1}{16}\) * | (1) | |
| (b)(i) | (By symmetry) \(b = -\frac{1}{16}\) | B1 |
| (ii) | At \((8, 0)\) \(0 = -\frac{1}{16} \times 8 + c \Rightarrow c = \frac{1}{2}\) or at \((4, 0.25)\) \(0.25 = -\frac{1}{16} \times 4 + c \Rightarrow c = \frac{1}{2}\) | M1 A1 |
| (c) | \(E(X) = 4\) | B1 |
| \(E(X^2) = \int_0^4 x^2 \left(\frac{1}{16}x\right) dx + \int_4^8 x^2 \left(-\frac{1}{16}x + \frac{1}{2}\right) dx\) | M1 | |
| \(= \frac{1}{64}\left[x^4\right]_0^4 + \left[\begin{matrix} \frac{1}{64}x^4 + \frac{1}{6}x^3 \end{matrix}\right]_4\) | A1ft | |
| \(= 4 + \left[\left(-64 + \frac{256}{3}\right) - \left(-4 + \frac{32}{3}\right)\right] - \frac{56}{3}\) | dM1A1 | |
| \(\text{Var}(X) = \frac{56}{3} - 4^2 = \frac{8}{3}\) * | A1* | (6) |
| (d) | \(\frac{1}{2} \times Q_1 \times \frac{1}{16} \times Q_1 = \frac{1}{4}\) or \(\int_0^{Q_1} \frac{1}{16}x \, dx = 0.25 \rightarrow \frac{Q_1^2}{32} = 0.25\) | M1 |
| \(Q_1 = \sqrt{8} = 2.828...\) or \(Q_3 = 8 - \sqrt{8} = 5.171...\) awrt 2.83 or awrt 5.17 | A1 | |
| \(Q_1 = \sqrt{8} = 2.828...\) and \(Q_3 = 8 - \sqrt{8} = 5.171...\) awrt 2.83 and awrt 5.17 | A1 | (3) |
| (e) | 50% lies between \(Q_1\) and \(Q_3\) | M1 |
| Statistician's claim: \(p\left('4'- \sqrt{\frac{8}{3}} < X < '4' + \sqrt{\frac{8}{3}}\right) = P(2.37 < X < 5.63)\) | M1 | |
| as this is outside \(Q_1\) and \(Q_3\), \(> 0.5/\) statistician's claim is correct* | A1* | (2) |
| or \(P(2.37 < X < 5.63) = 0.6498... > 0.5 /\) statistician's claim is correct* | ||
| Total | 15 |
| (a) | $\frac{1}{2} \times 8 \times 4a = 1 \Rightarrow a = \frac{1}{16}$ * | B1* | |
| | or $\int_{[0]}^{[4]} ax \, dx = 0.5 \Rightarrow \left[\frac{ax^2}{2}\right]_0 = 0.5 \Rightarrow a = \frac{1}{16}$ * | | (1) |
| (b)(i) | (By symmetry) $b = -\frac{1}{16}$ | B1 | (1) |
| (ii) | At $(8, 0)$ $0 = -\frac{1}{16} \times 8 + c \Rightarrow c = \frac{1}{2}$ or at $(4, 0.25)$ $0.25 = -\frac{1}{16} \times 4 + c \Rightarrow c = \frac{1}{2}$ | M1 A1 | (3) |
| (c) | $E(X) = 4$ | B1 | |
| | $E(X^2) = \int_0^4 x^2 \left(\frac{1}{16}x\right) dx + \int_4^8 x^2 \left(-\frac{1}{16}x + \frac{1}{2}\right) dx$ | M1 | |
| | $= \frac{1}{64}\left[x^4\right]_0^4 + \left[\begin{matrix} \frac{1}{64}x^4 + \frac{1}{6}x^3 \end{matrix}\right]_4$ | A1ft | |
| | $= 4 + \left[\left(-64 + \frac{256}{3}\right) - \left(-4 + \frac{32}{3}\right)\right] - \frac{56}{3}$ | dM1A1 | |
| | $\text{Var}(X) = \frac{56}{3} - 4^2 = \frac{8}{3}$ * | A1* | (6) |
| (d) | $\frac{1}{2} \times Q_1 \times \frac{1}{16} \times Q_1 = \frac{1}{4}$ or $\int_0^{Q_1} \frac{1}{16}x \, dx = 0.25 \rightarrow \frac{Q_1^2}{32} = 0.25$ | M1 | |
| | $Q_1 = \sqrt{8} = 2.828...$ or $Q_3 = 8 - \sqrt{8} = 5.171...$ awrt 2.83 or awrt 5.17 | A1 | |
| | $Q_1 = \sqrt{8} = 2.828...$ and $Q_3 = 8 - \sqrt{8} = 5.171...$ awrt 2.83 and awrt 5.17 | A1 | (3) |
| (e) | 50% lies between $Q_1$ and $Q_3$ | M1 | |
| | Statistician's claim: $p\left('4'- \sqrt{\frac{8}{3}} < X < '4' + \sqrt{\frac{8}{3}}\right) = P(2.37 < X < 5.63)$ | M1 | |
| | as this is outside $Q_1$ and $Q_3$, $> 0.5/$ statistician's claim is correct* | A1* | (2) |
| | or $P(2.37 < X < 5.63) = 0.6498... > 0.5 /$ statistician's claim is correct* | | |
| | **Total** | **15** | |
**Notes for Question 7:**
- **(a) B1*:** Allow any correct equivalent method. E.g. $\frac{1}{2} \times 4 \times 4a = \frac{1}{2} \Rightarrow a = \frac{1}{16}$, integration, use of gradients, etc.
- Answer is given so a complete correct method with no incorrect working must be seen
- **(b) B1:** Cao
- **(b) M1:** Use of equation of line to find $c$ e.g. $y - 0 = -\frac{1}{16}(x-8)$ or use of integration or any valid method
- **(b) A1:** Cao correct answer scores M1A1
- **(c) B1:** For $E(X) = 4$ This may be seen at any point in the solution
- **(c) M1:** For use of $\int x^2 f(x) dx$ or $x^6 \rightarrow x^{6+1}$ for both parts of pdf (ignore limits) ft their values of $b$ and $c$
- **(c) A1ft:** For correct integration of **either** of the 2 parts, ft their values of $b$ and $c$
- For use of correct limits in **either** part (dep on previous M1)
- may be implied by sight of 4 or $\frac{44}{3}$ but not implied by $\frac{56}{3}$
- allow ft on their values of $b$ and $c$ which you may need to check
- **(c) dM1:** For complete correct substitution $4 + \left[\left(-64 + \frac{256}{3}\right) - \left(-4 + \frac{32}{3}\right)\right]$ or $\frac{56}{3}$ allow = $4 + \frac{44}{3}$
- **(c) A1:** For correct method for **either** $Q_1$ or $Q_3$
- e.g. $\frac{1}{2} \times Q_1 \times \frac{1}{16} \times Q_1 = \frac{1}{4}$ or $\int_0^{Q_1} \frac{1}{16}
\begin{enumerate}
\item The continuous random variable $X$ has probability density function given by
\end{enumerate}
$$f ( x ) = \begin{cases} a x & 0 \leqslant x \leqslant 4 \\ b x + c & 4 < x \leqslant 8 \\ 0 & \text { otherwise } \end{cases}$$
where $a$, $b$ and $c$ are constants.
\begin{figure}[h]
\begin{center}
\includegraphics[alt={},max width=\textwidth]{6e6f7a1a-b577-4f28-a7a9-557b9d325851-24_389_1013_630_529}
\captionsetup{labelformat=empty}
\caption{Figure 1}
\end{center}
\end{figure}
Figure 1 shows the graph of the probability density function $\mathrm { f } ( x )$\\
The graph consists of two straight line segments of equal length joined at the point where $x = 4$\\
(a) Show that $a = \frac { 1 } { 16 }$\\
(b) Hence find\\
(i) the value of $b$\\
(ii) the value of $c$\\
(c) Using algebraic integration, show that $\operatorname { Var } ( X ) = \frac { 8 } { 3 }$\\
(d) Find, to 2 decimal places, the lower quartile and the upper quartile of $X$
A statistician claims that
$$\mathrm { P } ( - \sigma < X - \mu < \sigma ) > 0.5$$
where $\mu$ and $\sigma$ are the mean and standard deviation of $X$\\
(e) Show that the statistician's claim is correct.
\hfill \mbox{\textit{Edexcel S2 2024 Q7}}