Edexcel S2 2016 January — Question 2 10 marks

Exam BoardEdexcel
ModuleS2 (Statistics 2)
Year2016
SessionJanuary
Marks10
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicContinuous Uniform Random Variables
TypeFind parameters from given statistics
DifficultyModerate -0.3 This is a straightforward S2 uniform distribution question requiring standard formulas and algebraic manipulation. Part (a) uses basic properties (E(X) = (a+b)/2 and probability as length/total length), parts (b-c) apply linearity of expectation and the variance formula, and part (d) is simple probability calculation. All parts follow textbook methods with no novel insight 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

The continuous random variable \(X\) is uniformly distributed over the interval \([a, b]\) Given that \(\mathrm{P}(3 < X < 5) = \frac{1}{8}\) and \(\mathrm{E}(X) = 4\)
  1. find the value of \(a\) and the value of \(b\) [3]
  2. find the value of the constant, \(c\), such that \(\mathrm{E}(cX - 2) = 0\) [2]
  3. find the exact value of \(\mathrm{E}(X^2)\) [3]
  4. find \(\mathrm{P}(2X - b > a)\) [2]

AnswerMarks Guidance
Part (a)\(\frac{5-3}{b-a} = \frac{1}{8} \Rightarrow b - a = 16\) M1 M1
\(\frac{a+b}{2} = 4 \Rightarrow a + b = 8\)
\(a = -4\) and \(b = 12\)A1 both \(a = -4\) and \(b = 12\)
Part (b)\([cE(X) - 2] = [4c - 2 = 0]\) or \(\int_{-4}^{12} \frac{1}{16}(cx - 2) \, dx = 0\) M1
\(c = \frac{1}{2}\)A1
Part (c)\(\text{Var}(X) = \frac{(12' - ('-4'))^2}{12} \left( = \frac{64}{3} \right)\) or \(\int_{-4}^{12} \frac{1}{16} x^2 \, dx\) B1ft
\(E(X^2) = \left( \frac{64}{3} \right) + 4^2 = \frac{112}{3}\) or \(\left[\frac{'12'^3}{48} - \frac{'-4'^3}{48}\right] = \frac{112}{3}\)M1 A1 M1 for substituting \(E(X) = 4\) and their \(\text{Var}(X)\) into a correct expression for \(E(X^2)\) or correct integration with correct use of limits (ft their \(a\) and \(b\)); A1 for \(\frac{112}{3}\) or exact equivalent
Part (d)\(P(2X > a + b) = P(X > 4) = 0.5\) M1 A1
Total (10)
| **Part (a)** | $\frac{5-3}{b-a} = \frac{1}{8} \Rightarrow b - a = 16$ | M1 M1 | 1st M1 for $\frac{5-3}{b-a} = \frac{1}{8}$ oe or a sketch of a uniform distribution with a range of 16; 2nd M1 for $\frac{a+b}{2} = 4$ oe or a sketch of a uniform distribution centred on 4 |
| | $\frac{a+b}{2} = 4 \Rightarrow a + b = 8$ | | |
| | $a = -4$ and $b = 12$ | A1 | both $a = -4$ **and** $b = 12$ |

| **Part (b)** | $[cE(X) - 2] = [4c - 2 = 0]$ or $\int_{-4}^{12} \frac{1}{16}(cx - 2) \, dx = 0$ | M1 | for $4c - 2 = 0$ or attempt correct equation for $E(cX - 2) = 0$ using integration |
| | $c = \frac{1}{2}$ | A1 | |

| **Part (c)** | $\text{Var}(X) = \frac{(12' - ('-4'))^2}{12} \left( = \frac{64}{3} \right)$ or $\int_{-4}^{12} \frac{1}{16} x^2 \, dx$ | B1ft | for substituting their $a$ and $b$ into a correct expression for $\text{Var}(X)$ or correct integral with limits (ft their $a$ and $b$) for $E(X^2)$ |
| | $E(X^2) = \left( \frac{64}{3} \right) + 4^2 = \frac{112}{3}$ or $\left[\frac{'12'^3}{48} - \frac{'-4'^3}{48}\right] = \frac{112}{3}$ | M1 A1 | M1 for substituting $E(X) = 4$ and their $\text{Var}(X)$ into a correct expression for $E(X^2)$ or correct integration with correct use of limits (ft their $a$ and $b$); A1 for $\frac{112}{3}$ or exact equivalent |

| **Part (d)** | $P(2X > a + b) = P(X > 4) = 0.5$ | M1 A1 | M1 for correct rearrangement up to $P(X > k)$ where $k = \frac{a+b}{2}$ (may be implied by a correct ft answer) |

| | | | Total (10) |

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The continuous random variable $X$ is uniformly distributed over the interval $[a, b]$

Given that $\mathrm{P}(3 < X < 5) = \frac{1}{8}$ and $\mathrm{E}(X) = 4$

\begin{enumerate}[label=(\alph*)]
\item find the value of $a$ and the value of $b$ [3]

\item find the value of the constant, $c$, such that $\mathrm{E}(cX - 2) = 0$ [2]

\item find the exact value of $\mathrm{E}(X^2)$ [3]

\item find $\mathrm{P}(2X - b > a)$ [2]
\end{enumerate}

\hfill \mbox{\textit{Edexcel S2 2016 Q2 [10]}}