CAIE Further Paper 4 2023 November — Question 4 10 marks

Exam BoardCAIE
ModuleFurther Paper 4 (Further Paper 4)
Year2023
SessionNovember
Marks10
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicContinuous Probability Distributions and Random Variables
TypeFind multiple parameters from system
DifficultyChallenging +1.8 This is a challenging Further Maths statistics question requiring students to use multiple properties of PDFs simultaneously: normalization condition, quartile condition, and continuity at x=4. The system of equations requires algebraic manipulation and the expectation of √X involves non-trivial integration. However, the structure is methodical with clear signposting through parts (a)-(c), making it accessible to well-prepared Further Maths students despite requiring several sophisticated techniques.
Spec5.03a Continuous random variables: pdf and cdf5.03b Solve problems: using pdf5.03c Calculate mean/variance: by integration

4 \includegraphics[max width=\textwidth, alt={}, center]{a9f9cf66-0734-4316-99ae-c57090d08135-08_353_1141_255_463} The diagram shows the continuous random variable \(X\) with probability density function f given by $$f ( x ) = \begin{cases} \frac { 1 } { 128 } \left( 4 a x - b x ^ { 3 } \right) & 0 \leqslant x \leqslant 4 \\ c & 4 \leqslant x \leqslant 6 \\ 0 & \text { otherwise } \end{cases}$$ where \(a , b\) and \(c\) are constants.
The upper quartile of \(X\) is equal to 4 .
  1. Show that \(c = \frac { 1 } { 8 }\) and find the values of \(a\) and \(b\).
  2. Find the exact value of the median of \(X\).
  3. Find \(\mathrm { E } ( \sqrt { X } )\), giving your answer correct to 2 decimal places.

Question 4(a):
AnswerMarks Guidance
AnswerMarks Guidance
\(UQ = 4\) so \(\int_{4}^{6} c\, dx = \frac{1}{4}\): \(c[6-4] = \frac{1}{4}\), \(c = \frac{1}{8}\)B1 AG. Some indication of reasoning required.
\(\int_{0}^{4} \frac{1}{128}\left(4ax - bx^3\right)dx = \frac{3}{4}\); \(\frac{1}{128}\left[2ax^2 - \frac{b}{4}x^4\right] = \frac{3}{4}\), \(32a - 64b = 96\)M1 Integrate and use correct limits to form equation in \(a\) and \(b\).
Equate at \(x = 4\): \(a - 4b = 1\)M1
Solve: \(a = 5, b = 1\)A1
4
Question 4(b):
AnswerMarks Guidance
AnswerMarks Guidance
\(\int_{0}^{m} \frac{1}{128}\left(20x - x^3\right)dx = \frac{1}{2}\), OR \(F(x) = \frac{1}{128}\left(2ax^2 - \frac{b}{4}x^4\right) = \frac{5}{64}x^2 - \frac{1}{512}x^4\)M1* Attempt at integral and use of correct limits. Could be in terms of \(a,b,c\). Or attempt at relevant part of CDF and set \(F(m) = \frac{1}{2}\). Could be in terms of \(a,b,c\).
\(m^4 - 40m^2 + 256 = 0\)M1 Simplify to quartic. Could be in terms of \(a,b,c\).
\(m = 2\sqrt{2}\)A1 Positive answer only.
3
Question 4(c):
AnswerMarks Guidance
AnswerMarks Guidance
\(E\left(\sqrt{X}\right) = \frac{1}{128}\int_{0}^{4} 20x^{\frac{3}{2}} - x^{\frac{7}{2}}\, dx + \int_{4}^{6} \frac{1}{8}x^{\frac{1}{2}}\, dx\)M1 *Their* PDF multiplied by \(\sqrt{x}\) with correct limits. Could be in terms of \(a,b,c\).
\(\frac{1}{128}\left[8x^{\frac{5}{2}} - \frac{2}{9}x^{\frac{9}{2}}\right]_{0}^{4} + \frac{1}{12}\left[x^{\frac{3}{2}}\right]_{4}^{6}\)M1 Correct use of correct limits in *their* integral. Could be in terms of \(a,b,c\). May be implied by correct final answer.
\(\frac{1}{128}\left(2^8 - \frac{1}{9}\cdot 2^{10}\right) + \frac{1}{12}\left(6\sqrt{6} - 8\right) = \frac{4}{9} + \frac{1}{2}\sqrt{6} \approx 1.67\)A1 CAO. 1.67 following (first) M0 SC B2
3
## Question 4(a):

| Answer | Marks | Guidance |
|--------|-------|----------|
| $UQ = 4$ so $\int_{4}^{6} c\, dx = \frac{1}{4}$: $c[6-4] = \frac{1}{4}$, $c = \frac{1}{8}$ | B1 | AG. Some indication of reasoning required. |
| $\int_{0}^{4} \frac{1}{128}\left(4ax - bx^3\right)dx = \frac{3}{4}$; $\frac{1}{128}\left[2ax^2 - \frac{b}{4}x^4\right] = \frac{3}{4}$, $32a - 64b = 96$ | M1 | Integrate and use correct limits to form equation in $a$ and $b$. |
| Equate at $x = 4$: $a - 4b = 1$ | M1 | |
| Solve: $a = 5, b = 1$ | A1 | |
| | **4** | |

## Question 4(b):

| Answer | Marks | Guidance |
|--------|-------|----------|
| $\int_{0}^{m} \frac{1}{128}\left(20x - x^3\right)dx = \frac{1}{2}$, OR $F(x) = \frac{1}{128}\left(2ax^2 - \frac{b}{4}x^4\right) = \frac{5}{64}x^2 - \frac{1}{512}x^4$ | M1* | Attempt at integral and use of correct limits. Could be in terms of $a,b,c$. Or attempt at relevant part of CDF and set $F(m) = \frac{1}{2}$. Could be in terms of $a,b,c$. |
| $m^4 - 40m^2 + 256 = 0$ | M1 | Simplify to quartic. Could be in terms of $a,b,c$. |
| $m = 2\sqrt{2}$ | A1 | Positive answer only. |
| | **3** | |

## Question 4(c):

| Answer | Marks | Guidance |
|--------|-------|----------|
| $E\left(\sqrt{X}\right) = \frac{1}{128}\int_{0}^{4} 20x^{\frac{3}{2}} - x^{\frac{7}{2}}\, dx + \int_{4}^{6} \frac{1}{8}x^{\frac{1}{2}}\, dx$ | M1 | *Their* PDF multiplied by $\sqrt{x}$ with correct limits. Could be in terms of $a,b,c$. |
| $\frac{1}{128}\left[8x^{\frac{5}{2}} - \frac{2}{9}x^{\frac{9}{2}}\right]_{0}^{4} + \frac{1}{12}\left[x^{\frac{3}{2}}\right]_{4}^{6}$ | M1 | Correct use of correct limits in *their* integral. Could be in terms of $a,b,c$. May be implied by correct final answer. |
| $\frac{1}{128}\left(2^8 - \frac{1}{9}\cdot 2^{10}\right) + \frac{1}{12}\left(6\sqrt{6} - 8\right) = \frac{4}{9} + \frac{1}{2}\sqrt{6} \approx 1.67$ | A1 | CAO. 1.67 following (first) M0 SC B2 |
| | **3** | |
4\\
\includegraphics[max width=\textwidth, alt={}, center]{a9f9cf66-0734-4316-99ae-c57090d08135-08_353_1141_255_463}

The diagram shows the continuous random variable $X$ with probability density function f given by

$$f ( x ) = \begin{cases} \frac { 1 } { 128 } \left( 4 a x - b x ^ { 3 } \right) & 0 \leqslant x \leqslant 4 \\ c & 4 \leqslant x \leqslant 6 \\ 0 & \text { otherwise } \end{cases}$$

where $a , b$ and $c$ are constants.\\
The upper quartile of $X$ is equal to 4 .
\begin{enumerate}[label=(\alph*)]
\item Show that $c = \frac { 1 } { 8 }$ and find the values of $a$ and $b$.
\item Find the exact value of the median of $X$.
\item Find $\mathrm { E } ( \sqrt { X } )$, giving your answer correct to 2 decimal places.
\end{enumerate}

\hfill \mbox{\textit{CAIE Further Paper 4 2023 Q4 [10]}}