OCR S3 2014 June — Question 9 11 marks

Exam BoardOCR
ModuleS3 (Statistics 3)
Year2014
SessionJune
Marks11
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicContinuous Probability Distributions and Random Variables
TypeComposite/applied transformation
DifficultyChallenging +1.2 This is a multi-step transformation problem requiring students to derive the CDF and PDF of a transformed random variable. While it involves several techniques (geometric reasoning, function of a random variable, differentiation), the question provides significant scaffolding through parts (i)-(iii), and the transformation from uniform X to A follows a standard template taught in S3. The algebraic manipulation is moderate but routine for this level.
Spec5.03a Continuous random variables: pdf and cdf5.03e Find cdf: by integration5.03f Relate pdf-cdf: medians and percentiles5.07a Non-parametric tests: when to use

9 A rectangle of area \(A \mathrm {~m} ^ { 2 }\) has a perimeter of 20 m and each of the two shorter sides are of length \(X \mathrm {~m}\), where \(X\) is uniformly distributed between 0 and 2 .
  1. Write down an expression for \(A\) in terms of \(X\), and hence show that \(A = 25 - ( X - 5 ) ^ { 2 }\).
  2. Write down the probability density function of \(X\).
  3. Show that the cumulative distribution function of \(A\) is $$\mathrm { F } ( a ) = \left\{ \begin{array} { l r } 0 & a < 0 , \\ \frac { 1 } { 2 } ( 5 - \sqrt { 25 - a } ) & 0 \leqslant a \leqslant 16 , \\ 1 & a > 16 . \end{array} \right.$$
  4. Find the probability density function of \(A\). \section*{END OF QUESTION PAPER} \section*{OCR}

Question 9:
Part (i):
AnswerMarks Guidance
AnswerMarks Guidance
\(A = X(10 - X)\)B1 from base \(\times\) height
Use CTSM1 or quadratic formula. Allow verification.
\(A = 25 - (X-5)^2\) AGA1
[3]
Part (ii):
AnswerMarks Guidance
AnswerMarks Guidance
\(f_x(x) = \frac{1}{2}\)B1 Ignore range.
Question (iii):
AnswerMarks Guidance
AnswerMarks Guidance
\(F_X(x) = \frac{1}{2}x\)B1 Only if (ii) correct
\((F_A(a) =) \ P(A \leq a) = P[X(10-X) \leq a]\)M1
\(= F_X(5 - \sqrt{25-a})\)A1 Fully justified. \(X \text{(or } x) \geq 5 + \sqrt{25-a}\) is impossible
\(= \frac{1}{2}(5 - \sqrt{25-a})\) AGA1
\(0 \leq A \leq 16\) AG explainedB1 e.g. \(x=2 \Rightarrow a=16\). \(F_A(16)=1\) is not enough
Total: [5]
Question (iv):
AnswerMarks Guidance
AnswerMarks Guidance
\(f_A(a) = \frac{1}{4}(25-a)^{-\frac{1}{2}}\)M1, A1 M1 for attempt at differentiation
Total: [2]
## Question 9:

### Part (i):
| Answer | Marks | Guidance |
|--------|-------|----------|
| $A = X(10 - X)$ | B1 | from base $\times$ height |
| Use CTS | M1 | or quadratic formula. Allow verification. |
| $A = 25 - (X-5)^2$ AG | A1 | |
| **[3]** | | |

### Part (ii):
| Answer | Marks | Guidance |
|--------|-------|----------|
| $f_x(x) = \frac{1}{2}$ | B1 | Ignore range. |

## Question (iii):

| Answer | Marks | Guidance |
|--------|-------|----------|
| $F_X(x) = \frac{1}{2}x$ | B1 | Only if (ii) correct |
| $(F_A(a) =) \ P(A \leq a) = P[X(10-X) \leq a]$ | M1 | |
| $= F_X(5 - \sqrt{25-a})$ | A1 | Fully justified. $X \text{(or } x) \geq 5 + \sqrt{25-a}$ is impossible |
| $= \frac{1}{2}(5 - \sqrt{25-a})$ AG | A1 | |
| $0 \leq A \leq 16$ AG explained | B1 | e.g. $x=2 \Rightarrow a=16$. $F_A(16)=1$ is not enough |

**Total: [5]**

---

## Question (iv):

| Answer | Marks | Guidance |
|--------|-------|----------|
| $f_A(a) = \frac{1}{4}(25-a)^{-\frac{1}{2}}$ | M1, A1 | M1 for attempt at differentiation |

**Total: [2]**
9 A rectangle of area $A \mathrm {~m} ^ { 2 }$ has a perimeter of 20 m and each of the two shorter sides are of length $X \mathrm {~m}$, where $X$ is uniformly distributed between 0 and 2 .\\
(i) Write down an expression for $A$ in terms of $X$, and hence show that $A = 25 - ( X - 5 ) ^ { 2 }$.\\
(ii) Write down the probability density function of $X$.\\
(iii) Show that the cumulative distribution function of $A$ is

$$\mathrm { F } ( a ) = \left\{ \begin{array} { l r } 
0 & a < 0 , \\
\frac { 1 } { 2 } ( 5 - \sqrt { 25 - a } ) & 0 \leqslant a \leqslant 16 , \\
1 & a > 16 .
\end{array} \right.$$

(iv) Find the probability density function of $A$.

\section*{END OF QUESTION PAPER}
\section*{OCR}

\hfill \mbox{\textit{OCR S3 2014 Q9 [11]}}