CAIE S2 2022 June — Question 6 9 marks

Exam BoardCAIE
ModuleS2 (Statistics 2)
Year2022
SessionJune
Marks9
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicContinuous Uniform Random Variables
TypeCalculate probabilities and expectations
DifficultyModerate -0.3 This is a straightforward continuous uniform distribution question requiring standard techniques: identifying the median by symmetry, calculating probabilities using areas, deriving variance using the standard formula, and manipulating probabilities algebraically. All parts follow routine procedures with no novel problem-solving required, making it slightly easier than average for A-level.
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

6 A random variable \(X\) has probability density function f . The graph of \(\mathrm { f } ( x )\) is a straight line segment parallel to the \(x\)-axis from \(x = 0\) to \(x = a\), where \(a\) is a positive constant.
  1. State, in terms of \(a\), the median of \(X\).
  2. Find \(\mathrm { P } \left( X > \frac { 3 } { 4 } a \right)\).
  3. Show that \(\operatorname { Var } ( X ) = \frac { 1 } { 12 } a ^ { 2 }\).
  4. Given that \(\mathrm { P } ( X < b ) = p\), where \(0 < b < \frac { 1 } { 2 } a\), find \(\mathrm { P } \left( \frac { 1 } { 3 } b < X < a - \frac { 1 } { 3 } b \right)\) in terms of \(p\).

Question 6(a):
AnswerMarks Guidance
AnswerMark Guidance
\(\frac{a}{2}\)B1
Question 6(b):
AnswerMarks Guidance
AnswerMark Guidance
\(\frac{1}{4}\)B1
Question 6(c):
AnswerMarks Guidance
AnswerMark Guidance
\(f(x) = \frac{1}{a}\)B1 SOI (may be seen in part (a) or part (b))
\(E(X) = \frac{a}{2}\)B1 SOI
\(\int_0^a \frac{1}{a} x^2 \, dx\)M1 Attempt integrate *their* \(f(x) \times x^2\) with correct limits
\(= \left[\frac{x^3}{3a}\right]_0^a = \frac{a^2}{3}\)A1
\(\frac{a^2}{3} - \left(\frac{a}{2}\right)^2\) or \(\frac{a^2}{3} - \frac{a^2}{4} = \frac{a^2}{12}\) AGA1 Must see previous line and answer; No errors seen
Question 6(d):
AnswerMarks Guidance
AnswerMark Guidance
\(P\!\left(X < \frac{b}{3}\right) = \frac{p}{3}\)M1 SOI (could be on a diagram); OR by integration: \(\text{prob} = 1 - \frac{2}{3}\cdot\frac{b}{a}\)
\(P\!\left(\frac{b}{3} < X < a - \frac{b}{3}\right) = 1 - \frac{2p}{3}\)A1
## Question 6(a):

| Answer | Mark | Guidance |
|--------|------|----------|
| $\frac{a}{2}$ | B1 | |

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## Question 6(b):

| Answer | Mark | Guidance |
|--------|------|----------|
| $\frac{1}{4}$ | B1 | |

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## Question 6(c):

| Answer | Mark | Guidance |
|--------|------|----------|
| $f(x) = \frac{1}{a}$ | B1 | SOI (may be seen in part (a) or part (b)) |
| $E(X) = \frac{a}{2}$ | B1 | SOI |
| $\int_0^a \frac{1}{a} x^2 \, dx$ | M1 | Attempt integrate *their* $f(x) \times x^2$ with correct limits |
| $= \left[\frac{x^3}{3a}\right]_0^a = \frac{a^2}{3}$ | A1 | |
| $\frac{a^2}{3} - \left(\frac{a}{2}\right)^2$ or $\frac{a^2}{3} - \frac{a^2}{4} = \frac{a^2}{12}$ **AG** | A1 | Must see previous line and answer; No errors seen |

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## Question 6(d):

| Answer | Mark | Guidance |
|--------|------|----------|
| $P\!\left(X < \frac{b}{3}\right) = \frac{p}{3}$ | M1 | SOI (could be on a diagram); OR by integration: $\text{prob} = 1 - \frac{2}{3}\cdot\frac{b}{a}$ |
| $P\!\left(\frac{b}{3} < X < a - \frac{b}{3}\right) = 1 - \frac{2p}{3}$ | A1 | |

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6 A random variable $X$ has probability density function f . The graph of $\mathrm { f } ( x )$ is a straight line segment parallel to the $x$-axis from $x = 0$ to $x = a$, where $a$ is a positive constant.
\begin{enumerate}[label=(\alph*)]
\item State, in terms of $a$, the median of $X$.
\item Find $\mathrm { P } \left( X > \frac { 3 } { 4 } a \right)$.
\item Show that $\operatorname { Var } ( X ) = \frac { 1 } { 12 } a ^ { 2 }$.
\item Given that $\mathrm { P } ( X < b ) = p$, where $0 < b < \frac { 1 } { 2 } a$, find $\mathrm { P } \left( \frac { 1 } { 3 } b < X < a - \frac { 1 } { 3 } b \right)$ in terms of $p$.
\end{enumerate}

\hfill \mbox{\textit{CAIE S2 2022 Q6 [9]}}