Edexcel S2 2003 January — Question 4 14 marks

Exam BoardEdexcel
ModuleS2 (Statistics 2)
Year2003
SessionJanuary
Marks14
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicCumulative distribution functions
TypeSkewness from moments
DifficultyStandard +0.3 This is a straightforward S2 question requiring standard techniques: evaluating F(x), differentiating to find f(x), computing E(X) and Var(X) by integration, finding the mode from f'(x)=0, then applying a given formula. All steps are routine with no novel insight required, making it slightly easier than average.
Spec5.03a Continuous random variables: pdf and cdf5.03c Calculate mean/variance: by integration5.03e Find cdf: by integration

4. The continuous random variable \(X\) has cumulative distribution function $$\mathrm { F } ( x ) = \begin{cases} 0 , & x < 0 \\ \frac { 1 } { 3 } x ^ { 2 } \left( 4 - x ^ { 2 } \right) , & 0 \leq x \leq 1 \\ 1 & x > 1 \end{cases}$$
  1. Find \(\mathrm { P } ( X > 0.7 )\).
  2. Find the probability density function \(\mathrm { f } ( x )\) of \(X\).
  3. Calculate \(\mathrm { E } ( X )\) and show that, to 3 decimal places, \(\operatorname { Var } ( X ) = 0.057\). One measure of skewness is $$\frac { \text { Mean - Mode } } { \text { Standard deviation } } .$$
  4. Evaluate the skewness of the distribution of \(X\).

Question 4:
Part (a)
AnswerMarks Guidance
\(P(X > 0.7) = 1 - F(0.7) = 0.4267\)M1 A1 (2 marks)
Part (b)
AnswerMarks Guidance
\(f(x) = \frac{d}{dx}F(x) = \frac{4}{3} \times 2x - \frac{4x^2}{3}\)M1
\(= \frac{4x}{3}(2 - x^2)\) for \(0 \leq x \leq 1\)A1 (2 marks)
Part (c)
AnswerMarks Guidance
\(E(X) = \int_0^1 \frac{4}{3}(2x^2 - x^4)\, dx = \left[\frac{4}{3}\left(\frac{2x^3}{3} - \frac{x^5}{5}\right)\right]_0^1\)M1 A1
\(= \frac{28}{45} = 0.622\)A1
\(\text{Var}(X) = \int_0^1 \frac{4}{3}(2x^3 - x^5)\, dx - \left(\frac{28}{45}\right)^2\)M1
\(= \left[\frac{4}{3}\left(\frac{2x^4}{4} - \frac{x^6}{6}\right)\right]_0^1 - \left(\frac{28}{45}\right)^2\)A1
\(= \frac{116}{2025} = 0.05728\)A1 (6 marks)
Part (d)
AnswerMarks Guidance
\(f'(x) = \frac{4}{3}(2 - 3x^2) = 0\)M1
\(\Rightarrow \text{mode} = \sqrt{\frac{2}{3}} = 0.816496\)A1
\(\text{skewness} = \dfrac{\frac{28}{45} - \sqrt{\frac{2}{3}}}{\sqrt{\frac{116}{2025}}} = -0.81170\)M1 A1 (4 marks)
# Question 4:

## Part (a)
| $P(X > 0.7) = 1 - F(0.7) = 0.4267$ | M1 A1 | (2 marks) |

## Part (b)
| $f(x) = \frac{d}{dx}F(x) = \frac{4}{3} \times 2x - \frac{4x^2}{3}$ | M1 | |
| $= \frac{4x}{3}(2 - x^2)$ for $0 \leq x \leq 1$ | A1 | (2 marks) |

## Part (c)
| $E(X) = \int_0^1 \frac{4}{3}(2x^2 - x^4)\, dx = \left[\frac{4}{3}\left(\frac{2x^3}{3} - \frac{x^5}{5}\right)\right]_0^1$ | M1 A1 | |
| $= \frac{28}{45} = 0.622$ | A1 | |
| $\text{Var}(X) = \int_0^1 \frac{4}{3}(2x^3 - x^5)\, dx - \left(\frac{28}{45}\right)^2$ | M1 | |
| $= \left[\frac{4}{3}\left(\frac{2x^4}{4} - \frac{x^6}{6}\right)\right]_0^1 - \left(\frac{28}{45}\right)^2$ | A1 | |
| $= \frac{116}{2025} = 0.05728$ | A1 | (6 marks) |

## Part (d)
| $f'(x) = \frac{4}{3}(2 - 3x^2) = 0$ | M1 | |
| $\Rightarrow \text{mode} = \sqrt{\frac{2}{3}} = 0.816496$ | A1 | |
| $\text{skewness} = \dfrac{\frac{28}{45} - \sqrt{\frac{2}{3}}}{\sqrt{\frac{116}{2025}}} = -0.81170$ | M1 A1 | (4 marks) |

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4. The continuous random variable $X$ has cumulative distribution function

$$\mathrm { F } ( x ) = \begin{cases} 0 , & x < 0 \\ \frac { 1 } { 3 } x ^ { 2 } \left( 4 - x ^ { 2 } \right) , & 0 \leq x \leq 1 \\ 1 & x > 1 \end{cases}$$
\begin{enumerate}[label=(\alph*)]
\item Find $\mathrm { P } ( X > 0.7 )$.
\item Find the probability density function $\mathrm { f } ( x )$ of $X$.
\item Calculate $\mathrm { E } ( X )$ and show that, to 3 decimal places, $\operatorname { Var } ( X ) = 0.057$.

One measure of skewness is

$$\frac { \text { Mean - Mode } } { \text { Standard deviation } } .$$
\item Evaluate the skewness of the distribution of $X$.
\end{enumerate}

\hfill \mbox{\textit{Edexcel S2 2003 Q4 [14]}}