Edexcel S2 2024 October — Question 7

Exam BoardEdexcel
ModuleS2 (Statistics 2)
Year2024
SessionOctober
PaperDownload PDF ↗
TopicHyperbolic functions
TypeProve hyperbolic identity from exponentials
DifficultyStandard +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.
Spec5.03a Continuous random variables: pdf and cdf5.03b Solve problems: using pdf5.03c Calculate mean/variance: by integration

  1. The continuous random variable \(X\) has probability density function given by
$$f ( x ) = \begin{cases} a x & 0 \leqslant x \leqslant 4 \\ b x + c & 4 < x \leqslant 8 \\ 0 & \text { otherwise } \end{cases}$$ where \(a\), \(b\) and \(c\) are constants. \begin{figure}[h]
\includegraphics[alt={},max width=\textwidth]{6e6f7a1a-b577-4f28-a7a9-557b9d325851-24_389_1013_630_529} \captionsetup{labelformat=empty} \caption{Figure 1}
\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 \(x = 4\)
  1. Show that \(a = \frac { 1 } { 16 }\)
  2. Hence find
    1. the value of \(b\)
    2. the value of \(c\)
  3. Using algebraic integration, show that \(\operatorname { Var } ( X ) = \frac { 8 } { 3 }\)
  4. 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 \(X\)
  5. Show that the statistician's claim is correct.

AnswerMarks 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 5.17A1
\(Q_1 = \sqrt{8} = 2.828...\) and \(Q_3 = 8 - \sqrt{8} = 5.171...\) awrt 2.83 and awrt 5.17A1 (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*
Total15
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}
| (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}}