Challenging +1.2 This question requires understanding of CDFs and calculating P(2 ∈ (X, 4X)) by considering cases X ≤ 2 ≤ 4X, which translates to 1/2 ≤ X ≤ 2. The second part requires finding E(3X) = 3E(X), involving differentiation to get the pdf and integration for expectation. While it requires careful case analysis and multiple techniques (CDF manipulation, pdf derivation, expectation), these are standard Further Maths topics with straightforward execution once the setup is understood.
7 The continuous random variable \(X\) has distribution function given by
$$\mathrm { F } ( x ) = \begin{cases} 0 & x < 0 \\ 1 - \mathrm { e } ^ { - \frac { 1 } { 2 } x } & x \geqslant 0 \end{cases}$$
For a random value of \(X\), find the probability that 2 lies between \(X\) and \(4 X\).
Find also the expected value of the width of the interval ( \(X , 4 X\) ).
7 The continuous random variable $X$ has distribution function given by
$$\mathrm { F } ( x ) = \begin{cases} 0 & x < 0 \\ 1 - \mathrm { e } ^ { - \frac { 1 } { 2 } x } & x \geqslant 0 \end{cases}$$
For a random value of $X$, find the probability that 2 lies between $X$ and $4 X$.
Find also the expected value of the width of the interval ( $X , 4 X$ ).
\hfill \mbox{\textit{CAIE FP2 2010 Q7 [7]}}