OCR MEI S1 2005 June — Question 3 8 marks

Exam BoardOCR MEI
ModuleS1 (Statistics 1)
Year2005
SessionJune
Marks8
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicDiscrete Probability Distributions
TypeVerify probability from given formula
DifficultyEasy -1.2 This is a straightforward question requiring only direct substitution into a given formula (part i), standard expectation and variance calculations using given probabilities (part ii), and a simple application of expectation (part iii). All parts are routine bookwork with no problem-solving or insight required—significantly easier than average A-level questions.
Spec2.02f Measures of average and spread2.02g Calculate mean and standard deviation2.04a Discrete probability distributions

3 Jeremy is a computing consultant who sometimes works at home. The number, \(X\), of days that Jeremy works at home in any given week is modelled by the probability distribution $$\mathrm { P } ( X = r ) = \frac { 1 } { 40 } r ( r + 1 ) \quad \text { for } r = 1,2,3,4 .$$
  1. Verify that \(\mathrm { P } ( X = 4 ) = \frac { 1 } { 2 }\).
  2. Calculate \(\mathrm { E } ( X )\) and \(\operatorname { Var } ( X )\).
  3. Jeremy works for 45 weeks each year. Find the expected number of weeks during which he works at home for exactly 2 days.

Question 3:
Part (i)
AnswerMarks Guidance
AnswerMark Guidance
\(P(X=4) = \frac{1}{40}(4)(5) = \frac{1}{2}\) (Answer given)B1 Calculation must be seen
Part (ii)
AnswerMarks Guidance
AnswerMark Guidance
\(E(X) = (2+12+36+80)\frac{1}{40}\), so \(E(X) = 3.25\)M1 A1 cao Sum of \(rp\)
\(\text{Var}(X) = (2+24+108+320)\frac{1}{40} - 3.25^2\)M1 Sum of \(r^2p\)
\(= 11.35 - 10.5625\)M1 dep \(-3.25^2\)
\(= 0.7875\)A1 cao
Part (iii)
AnswerMarks Guidance
AnswerMark Guidance
Expected number of weeks \(= \frac{6}{40} \times 45 = 6.75\) weeksM1 A1 Use of \(np\)
## Question 3:

### Part (i)
| Answer | Mark | Guidance |
|--------|------|----------|
| $P(X=4) = \frac{1}{40}(4)(5) = \frac{1}{2}$ (Answer given) | B1 | Calculation must be seen |

### Part (ii)
| Answer | Mark | Guidance |
|--------|------|----------|
| $E(X) = (2+12+36+80)\frac{1}{40}$, so $E(X) = 3.25$ | M1 A1 cao | Sum of $rp$ |
| $\text{Var}(X) = (2+24+108+320)\frac{1}{40} - 3.25^2$ | M1 | Sum of $r^2p$ |
| $= 11.35 - 10.5625$ | M1 dep | $-3.25^2$ |
| $= 0.7875$ | A1 cao | |

### Part (iii)
| Answer | Mark | Guidance |
|--------|------|----------|
| Expected number of weeks $= \frac{6}{40} \times 45 = 6.75$ weeks | M1 A1 | Use of $np$ |

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3 Jeremy is a computing consultant who sometimes works at home. The number, $X$, of days that Jeremy works at home in any given week is modelled by the probability distribution

$$\mathrm { P } ( X = r ) = \frac { 1 } { 40 } r ( r + 1 ) \quad \text { for } r = 1,2,3,4 .$$

(i) Verify that $\mathrm { P } ( X = 4 ) = \frac { 1 } { 2 }$.\\
(ii) Calculate $\mathrm { E } ( X )$ and $\operatorname { Var } ( X )$.\\
(iii) Jeremy works for 45 weeks each year. Find the expected number of weeks during which he works at home for exactly 2 days.

\hfill \mbox{\textit{OCR MEI S1 2005 Q3 [8]}}