CAIE S2 2014 November — Question 3 8 marks

Exam BoardCAIE
ModuleS2 (Statistics 2)
Year2014
SessionNovember
Marks8
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicContinuous Probability Distributions and Random Variables
TypeCalculate probability P(X in interval)
DifficultyModerate -0.3 This is a straightforward S2 question testing basic continuous probability concepts: (a) requires simple integration of a polynomial pdf over an interval, (b)(i) uses the property that total probability equals 1 with semicircle area, (b)(ii) exploits symmetry for expectation, and (b)(iii) uses symmetry properties. All parts are standard textbook exercises requiring routine application of well-known techniques with no problem-solving insight needed, making it slightly easier than average.
Spec5.03a Continuous random variables: pdf and cdf5.03b Solve problems: using pdf

3
  1. The time for which Lucy has to wait at a certain traffic light each day is \(T\) minutes, where \(T\) has probability density function given by $$f ( t ) = \begin{cases} \frac { 3 } { 2 } t - \frac { 3 } { 4 } t ^ { 2 } & 0 \leqslant t \leqslant 2 \\ 0 & \text { otherwise } \end{cases}$$ Find the probability that, on a randomly chosen day, Lucy has to wait for less than half a minute at the traffic light.
  2. \includegraphics[max width=\textwidth, alt={}, center]{f9436a68-ec88-4feb-9c06-fc29fe53d1fe-2_405_793_1471_715} The diagram shows the graph of the probability density function, g , of a random variable \(X\). The graph of g is a semicircle with centre \(( 0,0 )\) and radius \(a\). Elsewhere \(\mathrm { g } ( x ) = 0\).
    1. Find the value of \(a\).
    2. State the value of \(\mathrm { E } ( X )\).
    3. Given that \(\mathrm { P } ( X < - c ) = 0.2\), find \(\mathrm { P } ( X < c )\).

Question 3(a):
AnswerMarks Guidance
Answer/WorkingMarks Guidance
\(\int_0^{0.5}(1.5t - 0.75t^2)\,dt\) o.e.M1 Attempt \(\int f(t)\)
\(= \left[0.75t^2 - 0.25t^3\right]_0^{0.5}\) o.e.A1 Correct integration and limits
\(= \frac{5}{32}\) or \(0.156\) (3 sf)A1 Total: 3
Question 3(b)(i):
AnswerMarks Guidance
Answer/WorkingMarks Guidance
\(\frac{1}{2}\pi a^2 = 1\) or \(\pi a^2 = 2\) o.e.M1 Attempt to find the area and equate to 1
\(a = \sqrt{\frac{2}{\pi}}\) or \(0.798\) (3 sf)A1 Total: 2
Question 3(b)(ii):
AnswerMarks Guidance
Answer/WorkingMarks Guidance
\(0\)B1 Total: 1
Question 3(b)(iii):
AnswerMarks Guidance
Answer/WorkingMarks Guidance
Symmetry stated, seen or impliedM1 Could be a diagram
\(0.8\)A1 As final answer. Total: 2
## Question 3(a):

| Answer/Working | Marks | Guidance |
|---|---|---|
| $\int_0^{0.5}(1.5t - 0.75t^2)\,dt$ o.e. | M1 | Attempt $\int f(t)$ |
| $= \left[0.75t^2 - 0.25t^3\right]_0^{0.5}$ o.e. | A1 | Correct integration and limits |
| $= \frac{5}{32}$ or $0.156$ (3 sf) | A1 | **Total: 3** |

## Question 3(b)(i):

| Answer/Working | Marks | Guidance |
|---|---|---|
| $\frac{1}{2}\pi a^2 = 1$ or $\pi a^2 = 2$ o.e. | M1 | Attempt to find the area and equate to 1 |
| $a = \sqrt{\frac{2}{\pi}}$ or $0.798$ (3 sf) | A1 | **Total: 2** |

## Question 3(b)(ii):

| Answer/Working | Marks | Guidance |
|---|---|---|
| $0$ | B1 | **Total: 1** |

## Question 3(b)(iii):

| Answer/Working | Marks | Guidance |
|---|---|---|
| Symmetry stated, seen or implied | M1 | Could be a diagram |
| $0.8$ | A1 | As final answer. **Total: 2** |

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3
\begin{enumerate}[label=(\alph*)]
\item The time for which Lucy has to wait at a certain traffic light each day is $T$ minutes, where $T$ has probability density function given by

$$f ( t ) = \begin{cases} \frac { 3 } { 2 } t - \frac { 3 } { 4 } t ^ { 2 } & 0 \leqslant t \leqslant 2 \\ 0 & \text { otherwise } \end{cases}$$

Find the probability that, on a randomly chosen day, Lucy has to wait for less than half a minute at the traffic light.
\item \\
\includegraphics[max width=\textwidth, alt={}, center]{f9436a68-ec88-4feb-9c06-fc29fe53d1fe-2_405_793_1471_715}

The diagram shows the graph of the probability density function, g , of a random variable $X$. The graph of g is a semicircle with centre $( 0,0 )$ and radius $a$. Elsewhere $\mathrm { g } ( x ) = 0$.
\begin{enumerate}[label=(\roman*)]
\item Find the value of $a$.
\item State the value of $\mathrm { E } ( X )$.
\item Given that $\mathrm { P } ( X < - c ) = 0.2$, find $\mathrm { P } ( X < c )$.
\end{enumerate}\end{enumerate}

\hfill \mbox{\textit{CAIE S2 2014 Q3 [8]}}