S2 January 2010 Q2
2. A continuous random variable \(X\) has cumulative distribution function
\[\mathrm{F}(x) = \begin{cases} 0, & x \lt -2 \\ \dfrac{x + 2}{6}, & -2 \leqslant x \leqslant 4 \\ 1, & x \gt 4 \end{cases}\]| Scheme | Marks |
|---|---|
| \(\mathrm{P}(X \lt 0) = \mathrm{F}(0)\) | M1 |
| \(= \dfrac{2}{6} = \dfrac{1}{3}\) | A1 |
| (2) |
Notes
M1 for attempting to find F(0) by a correct method eg subst 0 into F(\(x\)) or \(\displaystyle\int_{-2}^{0} \frac{1}{6}\,dx\)
Do NOT award M1 for \(\displaystyle\int_{-2}^{0} \frac{x + 2}{6}\,dx\) or \(\dfrac{1}{2} \times \dfrac{1}{3} \times 2\) both of which give the correct answer by using F(\(x\)) as the pdf
A1 1/3 o.e or awrt 0.333
Correct answer only with no incorrect working gets M1 A1
| Scheme | Marks |
|---|---|
| \(\mathrm{f}(x) = \dfrac{\mathrm{dF}(x)}{\mathrm{d}x}\) | M1 |
| \(\mathrm{f}(x) = \begin{cases} \dfrac{1}{6} & -2 \leqslant x \leqslant 4 \\ 0 & \text{otherwise} \end{cases}\) | A1 B1 |
| (3) |
Notes
M1 for attempting to differentiate F(\(x\)). (for attempt it must have no \(x\)s in)
A1 for the first line. Condone < signs
B1 for the second line. – They must have 0 \(x \lt -2\) and \(x \gt 4\) only.
| Scheme | Marks |
|---|---|
| Continuous Uniform (Rectangular) distribution | B1 |
| (1) |
Notes
B1 must have “continuous” and “uniform” or “Rectangular”
| Scheme | Marks |
|---|---|
| Mean = 1 | B1 |
| Variance is \(\dfrac{(4 - -2)^2}{12} = 3\) | M1 A1 |
| (3) |
Notes
B1 for mean = 1
M1 for attempt to use \(\dfrac{[\pm(b - a)]^2}{12}\), they must subst in values and not just quote the formula, or using \(\displaystyle\int_{-2}^{4} x^2(\textit{their } f(x)) - (\textit{their mean})^2\), including limits. Must get \(x^3\) when they integrate.
A1 cao.
| Scheme | Marks |
|---|---|
| \(\mathrm{P}(X = 1) = 0\) | B1 |
| (1) | |
| (10 marks) |
Notes
B1 cao