AQA S2 2005 June — Question 5 10 marks

Exam BoardAQA
ModuleS2 (Statistics 2)
Year2005
SessionJune
Marks10
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicDiscrete Probability Distributions
TypeCalculate Var(X) from table
DifficultyModerate -0.5 This is a straightforward S2 question requiring standard variance calculation from a probability distribution table using the formula Var(R) = E(R²) - [E(R)]². The calculations involve simple fractions and basic arithmetic with no conceptual challenges or problem-solving required beyond routine application of memorized formulas.
Spec5.02a Discrete probability distributions: general5.02b Expectation and variance: discrete random variables

5 The discrete random variable \(R\) has the following probability distribution.
\(\boldsymbol { r }\)124
\(\mathbf { P } ( \boldsymbol { R } = \boldsymbol { r } )\)\(\frac { 1 } { 4 }\)\(\frac { 1 } { 2 }\)\(\frac { 1 } { 4 }\)
  1. Calculate exact values for \(\mathrm { E } ( R )\) and \(\operatorname { Var } ( R )\).
    1. By tabulating the probability distribution for \(X = \frac { 1 } { R ^ { 2 } }\), show that \(\mathrm { E } ( X ) = \frac { 25 } { 64 }\).
    2. Hence find the value of the mean of the area of a rectangle which has sides of length \(\frac { 8 } { R }\) and \(\left( R + \frac { 8 } { R } \right)\).
      (3 marks)

Question 5:
Part (a)
AnswerMarks Guidance
\(E(R) = \left(1 \times \frac{1}{4}\right) + \left(2 \times \frac{1}{2}\right) + \left(4 \times \frac{1}{4}\right) = 2.25\)M1A1 \(2\frac{1}{4}\)
\(E(R^2) = \left(1 \times \frac{1}{4}\right) + \left(4 \times \frac{1}{2}\right) + \left(16 \times \frac{1}{4}\right) = 6.25\) \(6\frac{1}{4}\)
\(\text{Var}(R) = 6.25 - (2.25)^2 = 1.1875\)M1, A1\(\checkmark\) (4 marks) \(1\frac{3}{16}\) on their \(E(R)\)
Part (b)(i)
AnswerMarks Guidance
\(x\)\(1\) \(\frac{1}{4}\)
\(P(X=x)\)\(\frac{1}{4}\) \(\frac{1}{2}\)
B1
\(E(X) = \left(1 \times \frac{1}{4}\right) + \left(\frac{1}{4} \times \frac{1}{2}\right) + \left(\frac{1}{16} \times \frac{1}{4}\right)\)
AnswerMarks Guidance
\(= \frac{1}{4} + \frac{1}{8} + \frac{1}{64} = \frac{16+8+1}{64} = \frac{25}{64}\)M1, A1 (3 marks) AG
Part (b)(ii)
AnswerMarks Guidance
\(A = \left(R + \frac{8}{R}\right) \times \frac{8}{R} = 8 + \frac{64}{R^2}\)M1 Attempt at area
\(E(A) = E\!\left(8 + \frac{64}{R^2}\right) = 8 + E\!\left(\frac{64}{R^2}\right) = 8 + 64 \times E(X)\)M1
\(= 8 + 64 \times \frac{25}{64} = 33\)A1 (3 marks) CAO
## Question 5:

### Part (a)
$E(R) = \left(1 \times \frac{1}{4}\right) + \left(2 \times \frac{1}{2}\right) + \left(4 \times \frac{1}{4}\right) = 2.25$ | M1A1 | $2\frac{1}{4}$

$E(R^2) = \left(1 \times \frac{1}{4}\right) + \left(4 \times \frac{1}{2}\right) + \left(16 \times \frac{1}{4}\right) = 6.25$ | | $6\frac{1}{4}$

$\text{Var}(R) = 6.25 - (2.25)^2 = 1.1875$ | M1, A1$\checkmark$ (4 marks) | $1\frac{3}{16}$ on their $E(R)$

### Part (b)(i)

| $x$ | $1$ | $\frac{1}{4}$ | $\frac{1}{16}$ |
|------|-----|----------------|-----------------|
| $P(X=x)$ | $\frac{1}{4}$ | $\frac{1}{2}$ | $\frac{1}{4}$ |

B1

$E(X) = \left(1 \times \frac{1}{4}\right) + \left(\frac{1}{4} \times \frac{1}{2}\right) + \left(\frac{1}{16} \times \frac{1}{4}\right)$

$= \frac{1}{4} + \frac{1}{8} + \frac{1}{64} = \frac{16+8+1}{64} = \frac{25}{64}$ | M1, A1 (3 marks) | AG

### Part (b)(ii)
$A = \left(R + \frac{8}{R}\right) \times \frac{8}{R} = 8 + \frac{64}{R^2}$ | M1 | Attempt at area

$E(A) = E\!\left(8 + \frac{64}{R^2}\right) = 8 + E\!\left(\frac{64}{R^2}\right) = 8 + 64 \times E(X)$ | M1

$= 8 + 64 \times \frac{25}{64} = 33$ | A1 (3 marks) | CAO

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5 The discrete random variable $R$ has the following probability distribution.

\begin{center}
\begin{tabular}{ | c | c | c | c | }
\hline
$\boldsymbol { r }$ & 1 & 2 & 4 \\
\hline
$\mathbf { P } ( \boldsymbol { R } = \boldsymbol { r } )$ & $\frac { 1 } { 4 }$ & $\frac { 1 } { 2 }$ & $\frac { 1 } { 4 }$ \\
\hline
\end{tabular}
\end{center}
\begin{enumerate}[label=(\alph*)]
\item Calculate exact values for $\mathrm { E } ( R )$ and $\operatorname { Var } ( R )$.
\item \begin{enumerate}[label=(\roman*)]
\item By tabulating the probability distribution for $X = \frac { 1 } { R ^ { 2 } }$, show that $\mathrm { E } ( X ) = \frac { 25 } { 64 }$.
\item Hence find the value of the mean of the area of a rectangle which has sides of length $\frac { 8 } { R }$ and $\left( R + \frac { 8 } { R } \right)$.\\
(3 marks)
\end{enumerate}\end{enumerate}

\hfill \mbox{\textit{AQA S2 2005 Q5 [10]}}