S2 June 2014 Q2

EdexcelOld spec14 marksContinuous Random Variables

2. The length of time, in minutes, that a customer queues in a Post Office is a random variable, \(T\), with probability density function

\[\mathrm{f}(t) = \begin{cases} c(81 - t^2) & 0 \leqslant t \leqslant 9 \\ 0 & \text{otherwise} \end{cases}\]

where \(c\) is a constant.

(a) Show that the value of \(c\) is \(\dfrac{1}{486}\) (4)
(b) Show that the cumulative distribution function \(\mathrm{F}(t)\) is given by \[\mathrm{F}(t) = \begin{cases} 0 & t \lt 0 \\ \dfrac{t}{6} - \dfrac{t^3}{1458} & 0 \leqslant t \leqslant 9 \\ 1 & t \gt 9 \end{cases}\] (2)
(c) Find the probability that a customer will queue for longer than 3 minutes. (2)

A customer has been queueing for 3 minutes.

(d) Find the probability that this customer will be queueing for at least 7 minutes. (3)

Three customers are selected at random.

(e) Find the probability that exactly 2 of them had to queue for longer than 3 minutes. (3)