The waiting time, \(T\) hours, to see a particular doctor at a clinic has a distribution with a probability density function \(f\) defined by
\begin{align*}
f(t)=\left\{\begin{array}{cl}
\dfrac{3}{2 \log _e(2)}\left(\dfrac{1}{(t+1)(2-t)}\right), & 0<t \leq 1 \\
0, & \text{elsewhere}
\end{array}\right.
\end{align*}
- Use integration to show that \(E (T)=\dfrac{1}{2}\). (3 marks)
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- For random samples of 25 waiting times, it may be assumed that the sample means are approximately normally distributed.
- Find the probability that the average waiting time for a random sample of 25 patients is between 0.44 hours and 0.5 hours.
- Use \(\sigma=0.3\) and \(\operatorname{Pr}(Z<1)=0.84\) (2 marks)
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