Easy -1.8 This question requires only direct recall of standard exponential distribution properties: recognizing λ=0.2, stating E(T)=1/λ=5, writing the standard CDF F(t)=1-e^(-0.2t), and computing a single probability. No problem-solving or derivation needed—pure bookwork application.
6 The random variable \(T\) is the time, in suitable units, between two successive arrivals in a hospital casualty department. The probability density function of \(T\) is f , where
$$\mathrm { f } ( t ) = \begin{cases} 0.2 \mathrm { e } ^ { - 0.2 t } & t \geqslant 0 \\ 0 & \text { otherwise } \end{cases}$$
State the expected value of \(T\).
Write down the distribution function of \(T\) and find \(\mathrm { P } ( T > 10 )\).
6 The random variable $T$ is the time, in suitable units, between two successive arrivals in a hospital casualty department. The probability density function of $T$ is f , where
$$\mathrm { f } ( t ) = \begin{cases} 0.2 \mathrm { e } ^ { - 0.2 t } & t \geqslant 0 \\ 0 & \text { otherwise } \end{cases}$$
State the expected value of $T$.
Write down the distribution function of $T$ and find $\mathrm { P } ( T > 10 )$.
\hfill \mbox{\textit{CAIE FP2 2013 Q6 [5]}}