Edexcel S2 2019 January — Question 5 13 marks

Exam BoardEdexcel
ModuleS2 (Statistics 2)
Year2019
SessionJanuary
Marks13
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicContinuous Uniform Random Variables
TypeFind parameters from given statistics
DifficultyStandard +0.3 This is a straightforward S2 question testing standard formulas for continuous uniform distributions. Part (a) requires simple algebraic manipulation using P(X < k) = (k-a)/(b-a), then applying the mean formula. Part (b) uses Var(X) = (b-a)²/12 to find c, followed by routine probability and E(Y²) calculations. All steps are direct applications of memorized formulas with no conceptual challenges or novel problem-solving required, making it slightly easier than average.
Spec5.03a Continuous random variables: pdf and cdf5.03b Solve problems: using pdf5.03c Calculate mean/variance: by integration

  1. The continuous random variable \(X\) is uniformly distributed over the interval \([ a , b ]\) where \(0 < a < b\)
Given that \(\mathrm { P } ( X < b - 2 a ) = \frac { 1 } { 3 }\)
    1. show that \(\mathrm { E } ( X ) = \frac { 5 a } { 2 }\)
    2. find \(\mathrm { P } ( X > b - 4 a )\) The continuous random variable \(Y\) is uniformly distributed over the interval [3, c] where \(c > 3\) Given that \(\operatorname { Var } ( Y ) = 3 c - 9\), find
    1. the value of \(c\)
    2. \(\mathrm { P } ( 2 Y - 7 < 20 - Y )\)
    3. \(\mathrm { E } \left( Y ^ { 2 } \right)\)

Question 5:
Part (a)(i)
AnswerMarks Guidance
WorkingMark Guidance
\(\frac{(b-2a)-a}{b-a} = \frac{1}{3}\) or \(\frac{b-(b-2a)}{b-a} = \frac{2}{3}\); leading to \(b = 4a\)M1 For a correct probability equation \(= \frac{1}{3}\) (or \(= \frac{2}{3}\)) in terms of \(a\) and \(b\)
\(E(X) = \frac{a+4a}{2} = \frac{5a}{2}\)M1, A1cso 2nd M1 for use of \(E(X) = \frac{a + '4a'}{2}\) oe; correct solution with no errors seen
Part (a)(ii)
AnswerMarks Guidance
WorkingMark Guidance
\([P(X > b - 4a) = P(X > 0) =]\ 1\)B1
Part (b)(i)
AnswerMarks Guidance
WorkingMark Guidance
\(\frac{(c-3)^2}{12} = 3c - 9\)M1 1st M1 for \(\frac{(c-3)^2}{12} = 3c-9\)
\(c^2 - 42c + 117 = 0 \rightarrow (c-3)(c-39) = 0\)M1 2nd M1 for rearranging correctly to form \(3TQ = 0\) and attempt to solve, or \(\frac{c-3}{12} = 3\) oe
\(\underline{c=39}\)A1 If more than one value given and \(c=39\) not clearly selected then A0; allow [3,39]
Part (b)(ii)
AnswerMarks Guidance
WorkingMark Guidance
\(P(2Y - 7 < 20 - Y) = P(Y < 9)\)M1 For rearranging to (or using) \(P(Y < 9)\)
\(\frac{9-3}{'39'-3} = \frac{1}{6}\) awrt 0.167A1ft, A1 1st A1ft for a correct probability expression ft their '39'; if (i) incorrect must see correct expression e.g. \(\frac{9-3}{"39"-3}\) or \(\frac{6}{"36"}\) to ft
Part (b)(iii)
AnswerMarks Guidance
WorkingMark Guidance
\(E(Y^2) = \text{Var}(Y) + [E(Y)]^2 = (3('39')-9) + \left(\frac{'39'+3}{2}\right)^2\)M1, A1ft M1 for writing or using \(E(Y^2) = \text{Var}(Y) + [E(Y)]^2\); must be \(E(Y^2) = \int_3^{'39'} \frac{1}{'39'-3} y^2\,dy\) with \(y^2 \to y^3\); condone different letter; if \(c\) incorrect must show where \(\text{Var}(Y)\) and \(E(Y)\) come from; A1ft correct (follow through) expression for \(E(Y^2)\), allow \(\frac{1}{'39'-3}\left[\frac{y^3}{3}\right]_3^{'39'}\)
\(E(Y^2) = \mathbf{549}\)A1
# Question 5:

## Part (a)(i)
| Working | Mark | Guidance |
|---------|------|----------|
| $\frac{(b-2a)-a}{b-a} = \frac{1}{3}$ or $\frac{b-(b-2a)}{b-a} = \frac{2}{3}$; leading to $b = 4a$ | M1 | For a correct probability equation $= \frac{1}{3}$ (or $= \frac{2}{3}$) in terms of $a$ and $b$ |
| $E(X) = \frac{a+4a}{2} = \frac{5a}{2}$ | M1, A1cso | 2nd M1 for use of $E(X) = \frac{a + '4a'}{2}$ oe; correct solution with no errors seen |

## Part (a)(ii)
| Working | Mark | Guidance |
|---------|------|----------|
| $[P(X > b - 4a) = P(X > 0) =]\ 1$ | B1 | |

## Part (b)(i)
| Working | Mark | Guidance |
|---------|------|----------|
| $\frac{(c-3)^2}{12} = 3c - 9$ | M1 | 1st M1 for $\frac{(c-3)^2}{12} = 3c-9$ |
| $c^2 - 42c + 117 = 0 \rightarrow (c-3)(c-39) = 0$ | M1 | 2nd M1 for rearranging correctly to form $3TQ = 0$ and attempt to solve, or $\frac{c-3}{12} = 3$ oe |
| $\underline{c=39}$ | A1 | If more than one value given and $c=39$ not clearly selected then A0; allow [3,39] |

## Part (b)(ii)
| Working | Mark | Guidance |
|---------|------|----------|
| $P(2Y - 7 < 20 - Y) = P(Y < 9)$ | M1 | For rearranging to (or using) $P(Y < 9)$ |
| $\frac{9-3}{'39'-3} = \frac{1}{6}$ awrt **0.167** | A1ft, A1 | 1st A1ft for a correct probability expression ft their '39'; if (i) incorrect must see correct expression e.g. $\frac{9-3}{"39"-3}$ or $\frac{6}{"36"}$ to ft |

## Part (b)(iii)
| Working | Mark | Guidance |
|---------|------|----------|
| $E(Y^2) = \text{Var}(Y) + [E(Y)]^2 = (3('39')-9) + \left(\frac{'39'+3}{2}\right)^2$ | M1, A1ft | M1 for writing or using $E(Y^2) = \text{Var}(Y) + [E(Y)]^2$; must be $E(Y^2) = \int_3^{'39'} \frac{1}{'39'-3} y^2\,dy$ with $y^2 \to y^3$; condone different letter; if $c$ incorrect must show where $\text{Var}(Y)$ and $E(Y)$ come from; A1ft correct (follow through) expression for $E(Y^2)$, allow $\frac{1}{'39'-3}\left[\frac{y^3}{3}\right]_3^{'39'}$ |
| $E(Y^2) = \mathbf{549}$ | A1 | |

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\begin{enumerate}
  \item The continuous random variable $X$ is uniformly distributed over the interval $[ a , b ]$ where $0 < a < b$
\end{enumerate}

Given that $\mathrm { P } ( X < b - 2 a ) = \frac { 1 } { 3 }$\\
(a) (i) show that $\mathrm { E } ( X ) = \frac { 5 a } { 2 }$\\
(ii) find $\mathrm { P } ( X > b - 4 a )$

The continuous random variable $Y$ is uniformly distributed over the interval [3, c] where $c > 3$

Given that $\operatorname { Var } ( Y ) = 3 c - 9$, find\\
(b) (i) the value of $c$\\
(ii) $\mathrm { P } ( 2 Y - 7 < 20 - Y )$\\
(iii) $\mathrm { E } \left( Y ^ { 2 } \right)$

\hfill \mbox{\textit{Edexcel S2 2019 Q5 [13]}}