Challenging +1.2 This question requires understanding the relationship T = 60 - X, finding the CDF through transformation and integration of a cubic polynomial, then computing median and mean from the derived distribution. While it involves multiple steps and careful algebraic manipulation, the techniques are standard for Further Pure probability: variable transformation, polynomial integration, and using CDF properties. The cubic makes arithmetic slightly tedious but conceptually this is a straightforward application of learned methods rather than requiring novel insight.
Guided tours of a museum begin every 60 minutes. A randomly chosen tourist arrives \(X\) minutes after the start of a tour. The continuous random variable \(X\) has probability density function f given by
$$f ( x ) = \begin{cases} \frac { ( x - 20 ) ^ { 2 } } { 24000 } & 0 < x < 60 \\ 0 & \text { otherwise } \end{cases}$$
The random variable \(T\) is the time that the tourist has to wait for the next tour to begin. Show that the distribution function G of \(T\) is given by
$$\mathrm { G } ( t ) = \begin{cases} 0 & t \leqslant 0 \\ \frac { 8 } { 9 } - \frac { ( 40 - t ) ^ { 3 } } { 72000 } & 0 < t < 60 \\ 1 & t \geqslant 60 \end{cases}$$
Find the median and the mean of \(T\).
Guided tours of a museum begin every 60 minutes. A randomly chosen tourist arrives $X$ minutes after the start of a tour. The continuous random variable $X$ has probability density function f given by
$$f ( x ) = \begin{cases} \frac { ( x - 20 ) ^ { 2 } } { 24000 } & 0 < x < 60 \\ 0 & \text { otherwise } \end{cases}$$
The random variable $T$ is the time that the tourist has to wait for the next tour to begin. Show that the distribution function G of $T$ is given by
$$\mathrm { G } ( t ) = \begin{cases} 0 & t \leqslant 0 \\ \frac { 8 } { 9 } - \frac { ( 40 - t ) ^ { 3 } } { 72000 } & 0 < t < 60 \\ 1 & t \geqslant 60 \end{cases}$$
Find the median and the mean of $T$.
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