| Exam Board | CAIE |
|---|---|
| Module | Further Paper 4 (Further Paper 4) |
| Year | 2024 |
| Session | November |
| Marks | 10 |
| Paper | Download PDF ↗ |
| Mark scheme | Download PDF ↗ |
| Topic | Continuous Probability Distributions and Random Variables |
| Type | Piecewise PDF with k |
| Difficulty | Standard +0.3 This is a standard piecewise PDF question requiring integration to find k, sketching, deriving the CDF, and finding the median. All steps are routine applications of core probability techniques with straightforward algebra. The piecewise nature adds mild complexity but no novel insight is required—this is slightly easier than average for Further Maths statistics. |
| Spec | 5.03a Continuous random variables: pdf and cdf5.03b Solve problems: using pdf5.03e Find cdf: by integration5.03f Relate pdf-cdf: medians and percentiles |
| Answer | Marks | Guidance |
|---|---|---|
| Correct sketch | B1 | Label 1 and 5 on \(x\)-axis, ignore labels, if any, on \(y\)-axis |
| Answer | Marks | Guidance |
|---|---|---|
| \(\frac{kx^4}{4}\) with limits 0 and 1 gives \(\frac{k}{4}\); \(k\left(5x - \frac{x^2}{2}\right)\) with limits 1 and 5 gives \(8k\) | B1 | For either part correct |
| \(\frac{k}{4} + 8k = 1\), \(k = \frac{4}{33}\) | B1 | AG |
| Answer | Marks | Guidance |
|---|---|---|
| \(F(x) = \begin{cases} 0 & x < 0 \\ \frac{1}{33}x^4 & 0 \leq x < 1 \\ \frac{4}{33}\left(5x - \frac{1}{2}x^2 - \frac{17}{4}\right) & 1 \leq x \leq 5 \\ 1 & x > 5 \end{cases}\) | M1 | Integrate both parts |
| A1 | Middle two parts correct AEF | |
| A1 | 0 and 1 correct |
| Answer | Marks | Guidance |
|---|---|---|
| \(\int_0^1 kx^3\,dx + \int_1^m k(5-x)\,dx = \frac{1}{2}\) | M1* | Or integrate \(m\) to 5; or use \(F(x) = 0.5\) |
| \(\frac{4}{33}\left[\frac{1}{4} + 5m - \frac{1}{2}m^2 - 5 + \frac{1}{2}\right] = \frac{1}{2}\) or \(\frac{4}{33}\left[\frac{25}{2} - 5m + \frac{1}{2}m^2\right] = \frac{1}{2}\) or \(\frac{4}{33}\left[5m - \frac{1}{2}m^2 - \frac{17}{4}\right] = \frac{1}{2}\) | M1 | Must be a quadratic in \(m\) |
| \(4m^2 - 40m + 67 = 0\) | *DM1 | |
| \(m = \frac{1}{2}(10 - \sqrt{33}) = 2.13\) | A1 |
## Question 4(a):
| Correct sketch | B1 | Label 1 and 5 on $x$-axis, ignore labels, if any, on $y$-axis |
|---|---|---|
## Question 4(b):
| $\frac{kx^4}{4}$ with limits 0 and 1 gives $\frac{k}{4}$; $k\left(5x - \frac{x^2}{2}\right)$ with limits 1 and 5 gives $8k$ | B1 | For either part correct |
|---|---|---|
| $\frac{k}{4} + 8k = 1$, $k = \frac{4}{33}$ | B1 | AG |
## Question 4(c):
| $F(x) = \begin{cases} 0 & x < 0 \\ \frac{1}{33}x^4 & 0 \leq x < 1 \\ \frac{4}{33}\left(5x - \frac{1}{2}x^2 - \frac{17}{4}\right) & 1 \leq x \leq 5 \\ 1 & x > 5 \end{cases}$ | M1 | Integrate both parts |
|---|---|---|
| | A1 | Middle two parts correct AEF |
| | A1 | 0 and 1 correct |
## Question 4(d):
| $\int_0^1 kx^3\,dx + \int_1^m k(5-x)\,dx = \frac{1}{2}$ | M1* | Or integrate $m$ to 5; or use $F(x) = 0.5$ |
|---|---|---|
| $\frac{4}{33}\left[\frac{1}{4} + 5m - \frac{1}{2}m^2 - 5 + \frac{1}{2}\right] = \frac{1}{2}$ or $\frac{4}{33}\left[\frac{25}{2} - 5m + \frac{1}{2}m^2\right] = \frac{1}{2}$ or $\frac{4}{33}\left[5m - \frac{1}{2}m^2 - \frac{17}{4}\right] = \frac{1}{2}$ | M1 | Must be a quadratic in $m$ |
| $4m^2 - 40m + 67 = 0$ | *DM1 | |
| $m = \frac{1}{2}(10 - \sqrt{33}) = 2.13$ | A1 | |
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4 The continuous random variable $X$ has probability density function f given by
$$f ( x ) = \begin{cases} k x ^ { 3 } & 0 \leqslant x < 1 \\ k ( 5 - x ) & 1 \leqslant x \leqslant 5 \\ 0 & \text { otherwise } \end{cases}$$
where $k$ is a constant.
\begin{enumerate}[label=(\alph*)]
\item Sketch the graph of f.
\item Show that $k = \frac { 4 } { 33 }$.\\
\includegraphics[max width=\textwidth, alt={}, center]{8b2a13d7-62f4-45a7-84c5-7d5bc870b8ce-09_2725_35_99_20}
\item Find the cumulative distribution function of $X$.
\item Find the median value of $X$.
\end{enumerate}
\hfill \mbox{\textit{CAIE Further Paper 4 2024 Q4 [10]}}