CAIE FP2 2011 November — Question 6 8 marks

Exam BoardCAIE
ModuleFP2 (Further Pure Mathematics 2)
Year2011
SessionNovember
Marks8
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicCumulative distribution functions
TypePDF to CDF derivation
DifficultyStandard +0.3 This is a straightforward Further Maths statistics question involving a uniform distribution. Finding the CDF requires simple integration of a constant, the transformation Y=X³ uses standard change of variable formula (differentiating the inverse), and E(Y) and Var(Y) involve routine integration. All techniques are mechanical applications of standard methods with no conceptual challenges.
Spec5.03a Continuous random variables: pdf and cdf5.03b Solve problems: using pdf5.03g Cdf of transformed variables

6 The continuous random variable \(X\) has probability density function f given by $$\mathrm { f } ( x ) = \begin{cases} 0 & x < 1 \\ \frac { 1 } { 2 } & 1 \leqslant x \leqslant 3 \\ 0 & x > 3 \end{cases}$$ Find the distribution function of \(X\). The random variable \(Y\) is defined by \(Y = X ^ { 3 }\). Find
  1. the probability density function of \(Y\),
  2. the expected value and variance of \(Y\).

Question 6:
AnswerMarks Guidance
Answer/WorkingMarks Guidance
Integrate to find \(F(x)\) for \(1 \leq x \leq 3\): \(F(x) = \frac{1}{2}(x-1)\)B1
State \(F(x)\) for other intervals: \(0\,(x<1)\), \(1\,(x>3)\)B1
Subtotal: 2 marks
Question 6(i):
AnswerMarks Guidance
Answer/WorkingMarks Guidance
Relate dist. fn. \(G(y)\) of \(Y\) to \(X\): \(G(y) = P(Y < y) = P(X^3 < y) = P(X < y^{1/3}) = F(y^{1/3}) = \frac{1}{2}(y^{1/3} - 1)\)M1 A1 working may be omitted
Differentiate to find \(g(y)\): \(g(y) = y^{-2/3}/6\;(1 \leq y \leq 27)\), \([= 0 \text{ otherwise}]\)B1
Subtotal: 3 marks
Question 6(ii):
AnswerMarks Guidance
Answer/WorkingMarks Guidance
Find \(E(Y)\): \(E(Y) = \int_1^{27} y\,(y^{-2/3}/6)\,dy = [y^{4/3}/8]_1^{27}\) or \([x^4/8]_1^3 = (81-1)/8 = 10\)B1
Find \(\text{Var}(Y)\): \(E(Y^2) = \int_1^{27} y^2(y^{-2/3}/6)\,dy = [y^{7/3}/14]_1^{27}\) or \([x^7/14]_1^3 = (2187-1)/14 = 1093/7\)
\(\text{Var}(Y) = E(Y^2) - 10^2 = 393/7\) or \(56.1[4]\)M1 A1
Subtotal: 3 marksTotal: 8 marks
## Question 6:

| Answer/Working | Marks | Guidance |
|---|---|---|
| Integrate to find $F(x)$ for $1 \leq x \leq 3$: $F(x) = \frac{1}{2}(x-1)$ | B1 | |
| State $F(x)$ for other intervals: $0\,(x<1)$, $1\,(x>3)$ | B1 | |

**Subtotal: 2 marks**

## Question 6(i):

| Answer/Working | Marks | Guidance |
|---|---|---|
| Relate dist. fn. $G(y)$ of $Y$ to $X$: $G(y) = P(Y < y) = P(X^3 < y) = P(X < y^{1/3}) = F(y^{1/3}) = \frac{1}{2}(y^{1/3} - 1)$ | M1 A1 | working may be omitted |
| Differentiate to find $g(y)$: $g(y) = y^{-2/3}/6\;(1 \leq y \leq 27)$, $[= 0 \text{ otherwise}]$ | B1 | |

**Subtotal: 3 marks**

## Question 6(ii):

| Answer/Working | Marks | Guidance |
|---|---|---|
| Find $E(Y)$: $E(Y) = \int_1^{27} y\,(y^{-2/3}/6)\,dy = [y^{4/3}/8]_1^{27}$ or $[x^4/8]_1^3 = (81-1)/8 = 10$ | B1 | |
| Find $\text{Var}(Y)$: $E(Y^2) = \int_1^{27} y^2(y^{-2/3}/6)\,dy = [y^{7/3}/14]_1^{27}$ or $[x^7/14]_1^3 = (2187-1)/14 = 1093/7$ | | |
| $\text{Var}(Y) = E(Y^2) - 10^2 = 393/7$ or $56.1[4]$ | M1 A1 | |

**Subtotal: 3 marks | Total: 8 marks**

---
6 The continuous random variable $X$ has probability density function f given by

$$\mathrm { f } ( x ) = \begin{cases} 0 & x < 1 \\ \frac { 1 } { 2 } & 1 \leqslant x \leqslant 3 \\ 0 & x > 3 \end{cases}$$

Find the distribution function of $X$.

The random variable $Y$ is defined by $Y = X ^ { 3 }$. Find\\
(i) the probability density function of $Y$,\\
(ii) the expected value and variance of $Y$.

\hfill \mbox{\textit{CAIE FP2 2011 Q6 [8]}}