OCR MEI S1 2006 January — Question 2 8 marks

Exam BoardOCR MEI
ModuleS1 (Statistics 1)
Year2006
SessionJanuary
Marks8
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicDiscrete Probability Distributions
TypeCalculate E(X) from constructed distribution
DifficultyModerate -0.8 This is a straightforward expectation and variance calculation from a given probability distribution table. Part (i) requires simple logical reasoning (if 3 are correct, the 4th must be too), part (ii) is basic counting (1 arrangement out of 4! = 24), and part (iii) is direct application of standard formulas E(X) = Σxp(x) and Var(X) = E(X²) - [E(X)]². The distribution is provided, so no construction is needed—just arithmetic with fractions. This is easier than average A-level statistics work.
Spec5.02a Discrete probability distributions: general5.02b Expectation and variance: discrete random variables

2 Four letters are taken out of their envelopes for signing. Unfortunately they are replaced randomly, one in each envelope. The probability distribution for the number of letters, \(X\), which are now in the correct envelope is given in the following table.
\(r\)01234
\(\mathrm { P } ( X = r )\)\(\frac { 3 } { 8 }\)\(\frac { 1 } { 3 }\)\(\frac { 1 } { 4 }\)0\(\frac { 1 } { 24 }\)
  1. Explain why the case \(X = 3\) is impossible.
  2. Explain why \(\mathrm { P } ( X = 4 ) = \frac { 1 } { 24 }\).
  3. Calculate \(\mathrm { E } ( X )\) and \(\operatorname { Var } ( X )\).

Question 2:
(i)
AnswerMarks Guidance
If 3 letters are in the correct envelope, the 4th must also be correctB1 Accept equivalent explanation
(ii)
AnswerMarks
\(P(X=4) = \frac{1}{4!} = \frac{1}{24}\) since there is only one arrangement where all are correct out of \(4! = 24\) equally likely arrangementsM1 A1
(iii)
AnswerMarks Guidance
\(E(X) = 0 \times \frac{3}{8} + 1 \times \frac{1}{3} + 2 \times \frac{1}{4} + 3 \times 0 + 4 \times \frac{1}{24}\)M1
\(= 0 + \frac{1}{3} + \frac{1}{2} + 0 + \frac{1}{6} = 1\)A1 cao
\(E(X^2) = 0 + \frac{1}{3} + 1 + 0 + \frac{16}{24} = \frac{1}{3} + 1 + \frac{2}{3} = 2\)M1
\(Var(X) = E(X^2) - [E(X)]^2 = 2 - 1 = 1\)M1 A1
# Question 2:

**(i)**
If 3 letters are in the correct envelope, the 4th must also be correct | B1 | Accept equivalent explanation

**(ii)**
$P(X=4) = \frac{1}{4!} = \frac{1}{24}$ since there is only one arrangement where all are correct out of $4! = 24$ equally likely arrangements | M1 A1 | 

**(iii)**
$E(X) = 0 \times \frac{3}{8} + 1 \times \frac{1}{3} + 2 \times \frac{1}{4} + 3 \times 0 + 4 \times \frac{1}{24}$ | M1 | 
$= 0 + \frac{1}{3} + \frac{1}{2} + 0 + \frac{1}{6} = 1$ | A1 | cao
$E(X^2) = 0 + \frac{1}{3} + 1 + 0 + \frac{16}{24} = \frac{1}{3} + 1 + \frac{2}{3} = 2$ | M1 | 
$Var(X) = E(X^2) - [E(X)]^2 = 2 - 1 = 1$ | M1 A1 | 

---
2 Four letters are taken out of their envelopes for signing. Unfortunately they are replaced randomly, one in each envelope.

The probability distribution for the number of letters, $X$, which are now in the correct envelope is given in the following table.

\begin{center}
\begin{tabular}{ | c | c | c | c | c | c | }
\hline
$r$ & 0 & 1 & 2 & 3 & 4 \\
\hline
$\mathrm { P } ( X = r )$ & $\frac { 3 } { 8 }$ & $\frac { 1 } { 3 }$ & $\frac { 1 } { 4 }$ & 0 & $\frac { 1 } { 24 }$ \\
\hline
\end{tabular}
\end{center}

(i) Explain why the case $X = 3$ is impossible.\\
(ii) Explain why $\mathrm { P } ( X = 4 ) = \frac { 1 } { 24 }$.\\
(iii) Calculate $\mathrm { E } ( X )$ and $\operatorname { Var } ( X )$.

\hfill \mbox{\textit{OCR MEI S1 2006 Q2 [8]}}