Year: 2012
Paper: 1
Question Number: 12
Course: LFM Stats And Pure
Section: Continuous Probability Distributions and Random Variables
Difficulty Rating: 1484.0
Difficulty Comparisons: 1
Banger Rating: 1516.0
Banger Comparisons: 1
Fire extinguishers may become faulty at any time after manufacture and are tested annually on the anniversary of manufacture. The time $T$ years after manufacture until a fire extinguisher becomes faulty is modelled by the continuous probability density function \[
f(t) =
\begin{cases}
\frac{2t}{(1+t^2)^2}& \text{for $t\ge0$}\,,\\[4mm]
\ \ \ \ 0& \text{otherwise}.
\end{cases}
\]
A faulty fire extinguisher will fail an annual test with probability $p$, in which case it is destroyed immediately. A non-faulty fire extinguisher will always pass the test. All of the annual tests are independent. Show that the probability that a randomly chosen fire extinguisher will be destroyed exactly three years after its manufacture is $p(5p^2-13p +9)/10$.
Find the probability that a randomly chosen fire extinguisher that was destroyed exactly three years after its manufacture was faulty 18 months after its manufacture.
The probability it becomes faulty in each year is:
\begin{align*}
\mathbb{P}(\text{faulty in Y}1) &= \int_0^1 \frac{2t}{(1+t^2)^2} \, dt \\
&= \left [ -\frac{1}{(1+t^2)} \right]_0^1 \\
&= 1 - \frac{1}{2} = \frac{1}{2} \\
\mathbb{P}(\text{faulty in Y}2) &= \frac{1}{2} - \frac{1}{5} = \frac{3}{10} \\
\mathbb{P}(\text{faulty in Y}3) &= \frac{1}{5} - \frac{1}{10} = \frac{1}{10}
\end{align*}
The probability of failing for the first time after exactly $3$ years is:
\begin{align*}
\mathbb{P}(\text{faulty in Y1, }PPF) &+ \mathbb{P}(\text{faulty in Y2, }PF) + + \mathbb{P}(\text{faulty in Y3, }F) \\
&= \frac12 (1-p)^2p + \frac3{10}(1-p)p + \frac1{10}p \\
&= \frac{p}{10} \l 5(1-p)^2 + 3(1-p) + 1 \r \\
&= \frac{p}{10} \l 5 - 10p + 5p^2 + 3 -3p +1 \r \\
&= \frac{p}{10} \l 9 - 13p + 5p^2 \r
\end{align*}
as required.
The probability that a randomly chosen fire extinguisher that was destroyed exactly three years after its manufacture was faulty 18 months after its manufacture is:
\begin{align*}
\mathbb{P}(\text{faulty 18 months after} | \text{fails after 3 tries}) &= \frac{\mathbb{P}(\text{faulty 18 months after and fails after 3 tries})}{\mathbb{P}(\text{fails after exactly 3 tries})}
\end{align*}
We can compute $\mathbb{P}(\text{faulty 18 months after and fails after 3 tries})$ by looking at $2$ cases, fails between $12$ months and $18$ years, and between $0$ years and $1$ year.
\begin{align*}
\mathbb{P}(\text{faulty between 1y and 18m}) &= \int_{1}^{\frac32} \frac{2t}{(1+t^2)^2} \, dt \\
&= \left [ -\frac{1}{(1+t^2)} \right]_{1}^{\frac32} \\
&= \frac12 - \frac{4}{13} = \frac{5}{26} \\
\end{align*}
So the probability is:
\begin{align*}
\mathbb{P} &= \frac{\frac{5}{26}(1-p)p + \frac12(1-p)^2p}{\frac{p}{10} \l 9 - 13p + 5p^2 \r} \\
&= \frac{\frac{25}{13}(1-p) + 5(1-p)^2}{9 - 13p + 5p^2} \\
&= \frac{5}{13} \frac{(1-p)\l 5 + 13(1-p) \r}{9 - 13p + 5p^2} \\
&= \frac{5}{13} \frac{(1-p)\l 18 - 13p \r}{9 - 13p + 5p^2} \\
\end{align*}
This question was not attempted by many candidates. In some cases it was not understood that the function had to be integrated to find the probabilities. The identification of the probabilities required for the conditional probability calculation was also problematic. Where it was there were some good answers, although the algebraic manipulation proved a little complicated for some candidates.