AQA S2 2009 June — Question 4 12 marks

Exam BoardAQA
ModuleS2 (Statistics 2)
Year2009
SessionJune
Marks12
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicContinuous Probability Distributions and Random Variables
TypeCompare mean and median using probability
DifficultyStandard +0.3 This is a straightforward S2 question requiring standard techniques: sketching a piecewise pdf, finding median by area consideration, computing mean by integration, and evaluating a probability. Part (b) requires minimal insight (recognizing equal areas), part (c) is routine integration shown to a given answer, and part (d) is simple substitution and integration. Slightly above average due to the piecewise function and multiple parts, but all techniques are standard textbook exercises.
Spec5.03a Continuous random variables: pdf and cdf5.03b Solve problems: using pdf5.03c Calculate mean/variance: by integration5.03f Relate pdf-cdf: medians and percentiles

4 The continuous random variable \(X\) has probability density function given by $$f ( x ) = \left\{ \begin{array} { c c } \frac { 1 } { 2 } & 0 \leqslant x \leqslant 1 \\ \frac { 3 - x } { 4 } & 1 \leqslant x \leqslant 3 \\ 0 & \text { otherwise } \end{array} \right.$$
  1. Sketch the graph of f.
  2. Explain why the value of \(\eta\), the median of \(X\), is 1 .
  3. Show that the value of \(\mu\), the mean of \(X\), is \(\frac { 13 } { 12 }\).
  4. Find \(\mathrm { P } ( X < 3 \mu - \eta )\).

Question 4:
Part (a):
AnswerMarks Guidance
Answer/WorkingMarks Guidance
Sketch: straight line \(0 \leq x \leq 1\) from \((0, 0.5)\) to \((1, 0.5)\); straight line \(1 \leq x \leq 3\) from \((1, 0.5)\) to \((3, 0)\); axes correct with \((0,0.5)\), \((1,0)\) and \((3,0)\) labelledB3 1 mark each line + 1 for axes [must have at least \((0,0.5)\), \((1,0)\) and \((3,0)\) labelled]
Total3
Part (b):
AnswerMarks Guidance
Answer/WorkingMarks Guidance
\(P(X \leq \eta) = F(\eta) = 0.5\)M1
\(\Rightarrow \eta = 1\) (from graph)A1 AG
Total2
Part (c):
AnswerMarks Guidance
Answer/WorkingMarks Guidance
\(\mu = E(X) = \int_0^1 \left(\dfrac{x}{2}\right)dx + \int_1^3 x\left(\dfrac{3-x}{4}\right)dx\)M1 Both integrals stated
\(= \left[\dfrac{x^2}{4}\right]_0^1 + \dfrac{1}{4}\left[\dfrac{3x^2}{2} - \dfrac{x^3}{3}\right]_1^3\)A1 Either
\(= \dfrac{1}{4} + \dfrac{1}{4}\left[\left(\dfrac{27}{2}-9\right)-\left(\dfrac{3}{2}-\dfrac{1}{3}\right)\right]\)ml Correct limits used on both integrals + combined dep M1
\(= \dfrac{1}{4} + \dfrac{5}{6} \quad (0.25 + 0.8\overline{3})\)
\(= 1\dfrac{1}{12}\)A1 CAO
Total4
Part (d):
AnswerMarks Guidance
Answer/WorkingMarks Guidance
Area of \(\triangle\): \(P\!\left(X > 2\tfrac{1}{4}\right) = \tfrac{1}{2} \times \tfrac{3}{4} \times \dfrac{3 - 2\tfrac{1}{4}}{4}\)M1ft
\(= \dfrac{3}{32} \times \dfrac{3}{4} = \dfrac{9}{128}\)
\(\therefore P\!\left(X < 2\tfrac{1}{4}\right) = 1 - \dfrac{9}{128}\)M1ft Alternative: For \(1 \leq x \leq 3\): \(F(x) = 1 - \tfrac{1}{8}(3-x)^2\); \(F\!\left(2\tfrac{1}{4}\right) = 1 - \tfrac{1}{8}\times\tfrac{9}{16}\) (M1ft) \(= \dfrac{119}{128}\) (M1ft)
\(= \dfrac{119}{128}\ (0.9296875)\)A1 CAO
Total3
Question 4(d):
AnswerMarks Guidance
Answer/WorkingMark Guidance
\(\int_{2\frac{1}{4}}^{3} \frac{3-x}{4} dx \left(= \frac{9}{128}\right)\)M1 ft
\(= 1 - \int_{2\frac{1}{4}}^{3} \frac{3-x}{4} dx\)M1 ft
\(= 1 - \frac{1}{4}\left[3x - \frac{x^2}{2}\right]_{2\frac{1}{4}}^{3}\)
\(= 1 - \frac{1}{4}\left[9 - \frac{9}{2} - \frac{27}{4} + \frac{81}{32}\right]\)
\(= 1 - \frac{1}{4} \times \frac{9}{32} = \frac{119}{128}\)A1
Alternative: \(f\left(2\frac{1}{4}\right) = \frac{3}{16} = 0.1875\)
\(P\left(X < 3\mu - \eta\right) = P\left(X < 2\frac{1}{4}\right)\)
\(= \frac{1}{2} + \left[\frac{1}{2}\left(\frac{3}{16} + \frac{1}{2}\right) \times 1\frac{1}{4}\right]\)M1 ft
\(= \frac{1}{2} + \frac{55}{128}(0.4296875)\)M1 ft
\(= \frac{119}{128}\ (0.930)\)A1
Total12
# Question 4:

## Part (a):

| Answer/Working | Marks | Guidance |
|---|---|---|
| Sketch: straight line $0 \leq x \leq 1$ from $(0, 0.5)$ to $(1, 0.5)$; straight line $1 \leq x \leq 3$ from $(1, 0.5)$ to $(3, 0)$; axes correct with $(0,0.5)$, $(1,0)$ and $(3,0)$ labelled | B3 | 1 mark each line + 1 for axes [must have at least $(0,0.5)$, $(1,0)$ and $(3,0)$ labelled] |
| **Total** | **3** | |

## Part (b):

| Answer/Working | Marks | Guidance |
|---|---|---|
| $P(X \leq \eta) = F(\eta) = 0.5$ | M1 | |
| $\Rightarrow \eta = 1$ (from graph) | A1 | AG |
| **Total** | **2** | |

## Part (c):

| Answer/Working | Marks | Guidance |
|---|---|---|
| $\mu = E(X) = \int_0^1 \left(\dfrac{x}{2}\right)dx + \int_1^3 x\left(\dfrac{3-x}{4}\right)dx$ | M1 | Both integrals stated |
| $= \left[\dfrac{x^2}{4}\right]_0^1 + \dfrac{1}{4}\left[\dfrac{3x^2}{2} - \dfrac{x^3}{3}\right]_1^3$ | A1 | Either |
| $= \dfrac{1}{4} + \dfrac{1}{4}\left[\left(\dfrac{27}{2}-9\right)-\left(\dfrac{3}{2}-\dfrac{1}{3}\right)\right]$ | ml | Correct limits used on both integrals + combined dep M1 |
| $= \dfrac{1}{4} + \dfrac{5}{6} \quad (0.25 + 0.8\overline{3})$ | | |
| $= 1\dfrac{1}{12}$ | A1 | CAO |
| **Total** | **4** | |

## Part (d):

| Answer/Working | Marks | Guidance |
|---|---|---|
| Area of $\triangle$: $P\!\left(X > 2\tfrac{1}{4}\right) = \tfrac{1}{2} \times \tfrac{3}{4} \times \dfrac{3 - 2\tfrac{1}{4}}{4}$ | M1ft | |
| $= \dfrac{3}{32} \times \dfrac{3}{4} = \dfrac{9}{128}$ | | |
| $\therefore P\!\left(X < 2\tfrac{1}{4}\right) = 1 - \dfrac{9}{128}$ | M1ft | **Alternative:** For $1 \leq x \leq 3$: $F(x) = 1 - \tfrac{1}{8}(3-x)^2$; $F\!\left(2\tfrac{1}{4}\right) = 1 - \tfrac{1}{8}\times\tfrac{9}{16}$ (M1ft) $= \dfrac{119}{128}$ (M1ft) |
| $= \dfrac{119}{128}\ (0.9296875)$ | A1 | CAO |
| **Total** | **3** | |

# Question 4(d):

| Answer/Working | Mark | Guidance |
|---|---|---|
| $\int_{2\frac{1}{4}}^{3} \frac{3-x}{4} dx \left(= \frac{9}{128}\right)$ | M1 ft | |
| $= 1 - \int_{2\frac{1}{4}}^{3} \frac{3-x}{4} dx$ | M1 ft | |
| $= 1 - \frac{1}{4}\left[3x - \frac{x^2}{2}\right]_{2\frac{1}{4}}^{3}$ | | |
| $= 1 - \frac{1}{4}\left[9 - \frac{9}{2} - \frac{27}{4} + \frac{81}{32}\right]$ | | |
| $= 1 - \frac{1}{4} \times \frac{9}{32} = \frac{119}{128}$ | A1 | |
| **Alternative:** $f\left(2\frac{1}{4}\right) = \frac{3}{16} = 0.1875$ | | |
| $P\left(X < 3\mu - \eta\right) = P\left(X < 2\frac{1}{4}\right)$ | | |
| $= \frac{1}{2} + \left[\frac{1}{2}\left(\frac{3}{16} + \frac{1}{2}\right) \times 1\frac{1}{4}\right]$ | M1 ft | |
| $= \frac{1}{2} + \frac{55}{128}(0.4296875)$ | M1 ft | |
| $= \frac{119}{128}\ (0.930)$ | A1 | |
| **Total** | **12** | |

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4 The continuous random variable $X$ has probability density function given by

$$f ( x ) = \left\{ \begin{array} { c c } 
\frac { 1 } { 2 } & 0 \leqslant x \leqslant 1 \\
\frac { 3 - x } { 4 } & 1 \leqslant x \leqslant 3 \\
0 & \text { otherwise }
\end{array} \right.$$
\begin{enumerate}[label=(\alph*)]
\item Sketch the graph of f.
\item Explain why the value of $\eta$, the median of $X$, is 1 .
\item Show that the value of $\mu$, the mean of $X$, is $\frac { 13 } { 12 }$.
\item Find $\mathrm { P } ( X < 3 \mu - \eta )$.
\end{enumerate}

\hfill \mbox{\textit{AQA S2 2009 Q4 [12]}}