OCR MEI S3 2012 January — Question 4 18 marks

Exam BoardOCR MEI
ModuleS3 (Statistics 3)
Year2012
SessionJanuary
Marks18
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicGeometric Probability
TypeDeriving CDF from area proportionality
DifficultyStandard +0.3 This is a straightforward geometric probability question requiring standard techniques: deriving a CDF from area proportionality (given as a hint), differentiating to find the PDF, computing E(R) and Var(R) using standard integration, then applying CLT for sampling distribution. All steps are routine for S3 level with no novel insights required, making it slightly easier than average.
Spec5.01a Permutations and combinations: evaluate probabilities5.03a Continuous random variables: pdf and cdf5.03b Solve problems: using pdf5.03c Calculate mean/variance: by integration

4 At the school summer fair, one of the games involves throwing darts at a circular dartboard of radius \(a\) lying on the ground some distance away. Only darts that land on the board are counted. The distance from the centre of the board to the point where a dart lands is modelled by the random variable \(R\). It is assumed that the probability that a dart lands inside a circle of radius \(r\) is proportional to the area of the circle.
  1. By considering \(\mathrm { P } ( R < r )\) show that \(\mathrm { F } ( r )\), the cumulative distribution function of \(R\), is given by $$\mathrm { F } ( r ) = \begin{cases} 0 & r < 0 , \\ \frac { r ^ { 2 } } { a ^ { 2 } } & 0 \leqslant r \leqslant a , \\ 1 & r > a . \end{cases}$$
  2. Find \(\mathrm { f } ( r )\), the probability density function of \(R\).
  3. Find \(\mathrm { E } ( R )\) and show that \(\operatorname { Var } ( R ) = \frac { a ^ { 2 } } { 18 }\). The radius \(a\) of the dartboard is 22.5 cm .
  4. Let \(\bar { R }\) denote the mean distance from the centre of the board of a random sample of 100 darts. Write down an approximation to the distribution of \(\bar { R }\).
  5. A random sample of 100 darts is found to give a mean distance of 13.87 cm . Does this cast any doubt on the modelling?

Question 4:
Part (i)
AnswerMarks Guidance
AnswerMarks Guidance
\(P(R < r) = k\pi r^2\)M1 Formulate probability proportional to area in terms of \(k\)
\(P(R < a) = 1 \therefore k = \dfrac{1}{\pi a^2}\)M1 Find \(k\)
\(\therefore P(R < r) = \dfrac{\pi r^2}{\pi a^2} = \dfrac{r^2}{a^2}\) IF M0M0, allow SC B1 for \(P(R
Thus \(F(r) = \dfrac{r^2}{a^2}\) (for \(0 \le r \le a\)).A1 Convincingly shown; ANSWER GIVEN. Condone omission of \(r<0\) and/or \(r>a\)
[3]
Part (ii)
AnswerMarks Guidance
AnswerMarks Guidance
For \(0 \le r \le a\), \(f(r) = \dfrac{\mathrm{d}}{\mathrm{d}r}F(r) = \dfrac{2r}{a^2}\)M1, A1 Condone omission of \(r<0\) and/or \(r>a\)
[2]
Part (iii)
AnswerMarks Guidance
AnswerMarks Guidance
\(E(R) = \int_0^a r \cdot \dfrac{2r}{a^2}\,\mathrm{d}r\)M1 Correct integral with limits (may be implied subsequently)
\(= \left[\dfrac{2r^3}{3a^2}\right]_0^a\)A1 Correctly integrated
\(= \dfrac{2a}{3}\)A1 Limits used. Accept unsimplified form
\(E(R^2) = \int_0^a r^2 \cdot \dfrac{2r}{a^2}\,\mathrm{d}r = \left[\dfrac{2r^4}{4a^2}\right]_0^a = \dfrac{a^2}{2}\)M1, A1 Correct integral with limits; correctly integrated and limits used
\(\text{Var}(R) = \dfrac{a^2}{2} - \left(\dfrac{2a}{3}\right)^2 = \dfrac{9a^2 - 8a^2}{18} = \dfrac{a^2}{18}\)M1, A1 Use of \(\text{Var}(R) = E(R^2) - [E(R)]^2\); Convincingly shown — ANSWER GIVEN. Require sight of both terms with common denominator
[7]
Part (iv)
AnswerMarks Guidance
AnswerMarks Guidance
\(\bar{R} \sim (\text{approx})\ N\!\left(\dfrac{2}{3}\times 22.5,\ \dfrac{22.5^2}{18\times 100}\right) = N\!\left(15,\ 0.28125\right)\)B1, B1, B1 Normal; Mean — ft c's \(E(R)\) (>0) with \(a=22.5\); Variance — cao (\(= 0.5303(3)^2\)). Accept unsimplified form
[3]
Part (v)
AnswerMarks Guidance
AnswerMarks Guidance
EITHER: can argue that 13.87 is more than 2 SDs from the Mean (15). \(15 - 2\sqrt{0.28125} = 13.93(9)\), must refer to \(\text{SD}(\bar{R})\), not \(\text{SD}(R)\), i.e. outlier \(\Rightarrow\) doubt.M1, M1, A1 Allow 1.96 SDs, but not 1.984. 1.96 gives 13.96(1). A 95% CI is (12.831, 14.909). Must see explicit evidence. ft c's mean
OR more formally like a significance test: refer to \(N(0,1)\), \(\dfrac{13.87-15}{\sqrt{0.28125}} = -2.131\), sig at (eg) 5% \(\Rightarrow\) doubt.M1, M1, A1 Could imply first M. \(P(\
[3]
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# Question 4:

## Part (i)
| Answer | Marks | Guidance |
|--------|-------|----------|
| $P(R < r) = k\pi r^2$ | M1 | Formulate probability proportional to area in terms of $k$ |
| $P(R < a) = 1 \therefore k = \dfrac{1}{\pi a^2}$ | M1 | Find $k$ |
| $\therefore P(R < r) = \dfrac{\pi r^2}{\pi a^2} = \dfrac{r^2}{a^2}$ | | IF M0M0, allow SC B1 for $P(R<r) = \dfrac{\pi r^2}{\pi a^2} = \ldots$ |
| Thus $F(r) = \dfrac{r^2}{a^2}$ (for $0 \le r \le a$). | A1 | Convincingly shown; ANSWER GIVEN. Condone omission of $r<0$ and/or $r>a$ |
| **[3]** | | |

## Part (ii)
| Answer | Marks | Guidance |
|--------|-------|----------|
| For $0 \le r \le a$, $f(r) = \dfrac{\mathrm{d}}{\mathrm{d}r}F(r) = \dfrac{2r}{a^2}$ | M1, A1 | Condone omission of $r<0$ and/or $r>a$ |
| **[2]** | | |

## Part (iii)
| Answer | Marks | Guidance |
|--------|-------|----------|
| $E(R) = \int_0^a r \cdot \dfrac{2r}{a^2}\,\mathrm{d}r$ | M1 | Correct integral with limits (may be implied subsequently) |
| $= \left[\dfrac{2r^3}{3a^2}\right]_0^a$ | A1 | Correctly integrated |
| $= \dfrac{2a}{3}$ | A1 | Limits used. Accept unsimplified form |
| $E(R^2) = \int_0^a r^2 \cdot \dfrac{2r}{a^2}\,\mathrm{d}r = \left[\dfrac{2r^4}{4a^2}\right]_0^a = \dfrac{a^2}{2}$ | M1, A1 | Correct integral with limits; correctly integrated and limits used |
| $\text{Var}(R) = \dfrac{a^2}{2} - \left(\dfrac{2a}{3}\right)^2 = \dfrac{9a^2 - 8a^2}{18} = \dfrac{a^2}{18}$ | M1, A1 | Use of $\text{Var}(R) = E(R^2) - [E(R)]^2$; Convincingly shown — ANSWER GIVEN. Require sight of both terms with common denominator |
| **[7]** | | |

## Part (iv)
| Answer | Marks | Guidance |
|--------|-------|----------|
| $\bar{R} \sim (\text{approx})\ N\!\left(\dfrac{2}{3}\times 22.5,\ \dfrac{22.5^2}{18\times 100}\right) = N\!\left(15,\ 0.28125\right)$ | B1, B1, B1 | Normal; Mean — ft c's $E(R)$ (>0) with $a=22.5$; Variance — cao ($= 0.5303(3)^2$). Accept unsimplified form |
| **[3]** | | |

## Part (v)
| Answer | Marks | Guidance |
|--------|-------|----------|
| **EITHER**: can argue that 13.87 is more than 2 SDs from the Mean (15). $15 - 2\sqrt{0.28125} = 13.93(9)$, must refer to $\text{SD}(\bar{R})$, not $\text{SD}(R)$, i.e. outlier $\Rightarrow$ doubt. | M1, M1, A1 | Allow 1.96 SDs, but not 1.984. 1.96 gives 13.96(1). A 95% CI is (12.831, 14.909). Must see explicit evidence. ft c's mean |
| **OR** more formally like a significance test: refer to $N(0,1)$, $\dfrac{13.87-15}{\sqrt{0.28125}} = -2.131$, sig at (eg) 5% $\Rightarrow$ doubt. | M1, M1, A1 | Could imply first M. $P(\|Z\| > 2.131) = 0.0332$. ft c's mean |
| **[3]** | | |

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4 At the school summer fair, one of the games involves throwing darts at a circular dartboard of radius $a$ lying on the ground some distance away. Only darts that land on the board are counted. The distance from the centre of the board to the point where a dart lands is modelled by the random variable $R$. It is assumed that the probability that a dart lands inside a circle of radius $r$ is proportional to the area of the circle.\\
(i) By considering $\mathrm { P } ( R < r )$ show that $\mathrm { F } ( r )$, the cumulative distribution function of $R$, is given by

$$\mathrm { F } ( r ) = \begin{cases} 0 & r < 0 , \\ \frac { r ^ { 2 } } { a ^ { 2 } } & 0 \leqslant r \leqslant a , \\ 1 & r > a . \end{cases}$$

(ii) Find $\mathrm { f } ( r )$, the probability density function of $R$.\\
(iii) Find $\mathrm { E } ( R )$ and show that $\operatorname { Var } ( R ) = \frac { a ^ { 2 } } { 18 }$.

The radius $a$ of the dartboard is 22.5 cm .\\
(iv) Let $\bar { R }$ denote the mean distance from the centre of the board of a random sample of 100 darts. Write down an approximation to the distribution of $\bar { R }$.\\
(v) A random sample of 100 darts is found to give a mean distance of 13.87 cm . Does this cast any doubt on the modelling?

\hfill \mbox{\textit{OCR MEI S3 2012 Q4 [18]}}