CAIE S2 2017 March — Question 5 9 marks

Exam BoardCAIE
ModuleS2 (Statistics 2)
Year2017
SessionMarch
Marks9
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicContinuous Probability Distributions and Random Variables
TypeExplain why not valid PDF
DifficultyModerate -0.8 This is a straightforward S2 question testing basic PDF properties: recognizing that area under PDF must equal 1 (part a), applying this condition to find a constant (part b(i)), and using symmetry for expectation (part b(ii)). The variance calculation requires standard integration but is routine. All parts are textbook exercises requiring recall and direct application of definitions rather than problem-solving or insight.
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

5
  1. \includegraphics[max width=\textwidth, alt={}, center]{61ba010c-d6a2-4c19-9998-0ae048244a32-06_292_517_264_338} \includegraphics[max width=\textwidth, alt={}, center]{61ba010c-d6a2-4c19-9998-0ae048244a32-06_289_518_264_858} \includegraphics[max width=\textwidth, alt={}, center]{61ba010c-d6a2-4c19-9998-0ae048244a32-06_273_510_365_1377} The diagram shows the graphs of three functions, \(f _ { 1 } , f _ { 2 }\) and \(f _ { 3 }\). The function \(f _ { 1 }\) is a probability density function.
    1. State the value of \(k\).
    2. For each of the functions \(\mathrm { f } _ { 2 }\) and \(\mathrm { f } _ { 3 }\), state why it cannot be a probability density function.
  2. The probability density function g is defined by $$g ( x ) = \begin{cases} 6 \left( a ^ { 2 } - x ^ { 2 } \right) & - a \leqslant x \leqslant a \\ 0 & \text { otherwise } \end{cases}$$ where \(a\) is a constant.
    1. Show that \(a = \frac { 1 } { 2 }\).
    2. State the value of \(\mathrm { E } ( X )\).
    3. Find \(\operatorname { Var } ( X )\).

Question 5(a)(i):
AnswerMarks Guidance
AnswerMarks Guidance
\(k = 1\)B1
Question 5(a)(ii):
AnswerMarks Guidance
AnswerMarks Guidance
\(f_2\): area \(> 1\) (area \(\neq 1\))B1 oe
\(f_3\): includes negative values of \(f_3\)B1 oe
Question 5(b)(i):
AnswerMarks Guidance
AnswerMarks Guidance
\(6\int_{-a}^{a}(a^2 - x^2)\,dx = 1\)M1 Integ \(f(x) = 1\), ignore limits
\(6\left[a^2x - \frac{x^3}{3}\right]_{-a}^{a} = 1\)A1 Correct integral and limits
\(6(2a^3 - \frac{2a^3}{3}) = 1\), \(\frac{24a^3}{3} = 1\) or \(8a^3 = 1\), \(a = \frac{1}{2}\) AGA1 Correctly obtained. No errors seen. (SR Verification scores M1A1 only max 2/3)
Question 5(b)(ii):
AnswerMarks Guidance
AnswerMarks Guidance
\(0\)B1
Question 5(b)(iii):
AnswerMarks Guidance
AnswerMarks Guidance
\(6\int_{-0.5}^{0.5}\left(\frac{x^2}{4} - x^4\right)dx\)M1 attempt int \(x^2f(x)\) & correct limits
\(= 6\left[\frac{x^3}{12} - \frac{x^5}{5}\right]_{-0.5}^{0.5} = 0.05\), \(\text{Var} = 0.05 - 0^2\)
\(= 0.05\) oeA1 cao; allow omission of \(-0^2\)
## Question 5(a)(i):

| Answer | Marks | Guidance |
|--------|-------|----------|
| $k = 1$ | B1 | |

## Question 5(a)(ii):

| Answer | Marks | Guidance |
|--------|-------|----------|
| $f_2$: area $> 1$ (area $\neq 1$) | B1 | oe |
| $f_3$: includes negative values of $f_3$ | B1 | oe |

## Question 5(b)(i):

| Answer | Marks | Guidance |
|--------|-------|----------|
| $6\int_{-a}^{a}(a^2 - x^2)\,dx = 1$ | M1 | Integ $f(x) = 1$, ignore limits |
| $6\left[a^2x - \frac{x^3}{3}\right]_{-a}^{a} = 1$ | A1 | Correct integral and limits |
| $6(2a^3 - \frac{2a^3}{3}) = 1$, $\frac{24a^3}{3} = 1$ or $8a^3 = 1$, $a = \frac{1}{2}$ **AG** | A1 | Correctly obtained. No errors seen. (SR Verification scores M1A1 only max 2/3) |

## Question 5(b)(ii):

| Answer | Marks | Guidance |
|--------|-------|----------|
| $0$ | B1 | |

## Question 5(b)(iii):

| Answer | Marks | Guidance |
|--------|-------|----------|
| $6\int_{-0.5}^{0.5}\left(\frac{x^2}{4} - x^4\right)dx$ | M1 | attempt int $x^2f(x)$ & correct limits |
| $= 6\left[\frac{x^3}{12} - \frac{x^5}{5}\right]_{-0.5}^{0.5} = 0.05$, $\text{Var} = 0.05 - 0^2$ | | |
| $= 0.05$ oe | A1 | cao; allow omission of $-0^2$ |

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5
\begin{enumerate}[label=(\alph*)]
\item \\
\includegraphics[max width=\textwidth, alt={}, center]{61ba010c-d6a2-4c19-9998-0ae048244a32-06_292_517_264_338}\\
\includegraphics[max width=\textwidth, alt={}, center]{61ba010c-d6a2-4c19-9998-0ae048244a32-06_289_518_264_858}\\
\includegraphics[max width=\textwidth, alt={}, center]{61ba010c-d6a2-4c19-9998-0ae048244a32-06_273_510_365_1377}

The diagram shows the graphs of three functions, $f _ { 1 } , f _ { 2 }$ and $f _ { 3 }$. The function $f _ { 1 }$ is a probability density function.
\begin{enumerate}[label=(\roman*)]
\item State the value of $k$.
\item For each of the functions $\mathrm { f } _ { 2 }$ and $\mathrm { f } _ { 3 }$, state why it cannot be a probability density function.
\end{enumerate}\item The probability density function g is defined by

$$g ( x ) = \begin{cases} 6 \left( a ^ { 2 } - x ^ { 2 } \right) & - a \leqslant x \leqslant a \\ 0 & \text { otherwise } \end{cases}$$

where $a$ is a constant.
\begin{enumerate}[label=(\roman*)]
\item Show that $a = \frac { 1 } { 2 }$.
\item State the value of $\mathrm { E } ( X )$.
\item Find $\operatorname { Var } ( X )$.
\end{enumerate}\end{enumerate}

\hfill \mbox{\textit{CAIE S2 2017 Q5 [9]}}