1996 Paper 1 Q13

Year: 1996
Paper: 1
Question Number: 13

Course: UFM Statistics
Section: Discrete Random Variables

Difficulty: 1500.0 Banger: 1527.6

Problem

I have a Penny Black stamp which I want to sell to my friend Jim, but we cannot agree a price. So I put the stamp under one of two cups, jumble them up, and let Jim guess which one it is under. If he guesses correctly, I add a third cup, jumble them up, and let Jim guess correctly, adding another cup each time. The price he pays for the stamp is \(\pounds N,\) where \(N\) is the number of cups present when Jim fails to guess correctly. Find \(\mathrm{P}(N=k)\). Show that \(\mathrm{E}(N)=\mathrm{e}\) and calculate \(\mathrm{Var}(N).\)

Solution

\begin{align*} && \mathbb{P}(N = k) &= \mathbb{P}(\text{guesses }k-1\text{ correctly then 1 wrong})\\ &&&= \frac12 \cdot \frac{1}{3} \cdots \frac{1}{k-1} \frac{k-1}{k} \\ &&&= \frac{k-1}{k!} \\ &&\mathbb{E}(N) &= \sum_{k=2}^\infty k \cdot \mathbb{P}(N=k) \\ &&&= \sum_{k=2}^{\infty} \frac{k(k-1)}{k!} \\ &&&= \sum_{k=0}^{\infty} \frac{1}{k!} = e \\ && \textrm{Var}(N) &= \mathbb{E}(N^2) - \mathbb{E}(N)^2 \\ && \mathbb{E}(N^2) &= \sum_{k=2}^{\infty} k^2 \mathbb{P}(N=k) \\ &&&= \sum_{k=2}^{\infty} \frac{k^2(k-1)}{k!} \\ &&&= \sum_{k=0}^{\infty} \frac{k+2}{k!} \\ &&&= \sum_{k=0}^{\infty} \frac{1}{k!} + 2 \sum_{k=0}^{\infty} \frac{1}{k!} = 3e \\ \Rightarrow && \textrm{Var}(N) &= 3e-e^2 \end{align*}
Rating Information

Difficulty Rating: 1500.0

Difficulty Comparisons: 0

Banger Rating: 1527.6

Banger Comparisons: 6

Show LaTeX source
Problem source
I have a Penny Black stamp which I want to sell to my friend Jim,
but we cannot agree a price. So I put the stamp under one of two cups,
jumble them up, and let Jim guess which one it is under. If he guesses
correctly, I add a third cup, jumble them up, and let Jim guess correctly,
adding another cup each time. The price he pays for the stamp is $\pounds N,$
where $N$ is the number of cups present when Jim fails to guess correctly.
Find $\mathrm{P}(N=k)$. Show that $\mathrm{E}(N)=\mathrm{e}$ and
calculate $\mathrm{Var}(N).$
Solution source
\begin{align*}
&& \mathbb{P}(N = k) &= \mathbb{P}(\text{guesses }k-1\text{ correctly then 1 wrong})\\
&&&= \frac12 \cdot \frac{1}{3} \cdots \frac{1}{k-1} \frac{k-1}{k} \\
&&&= \frac{k-1}{k!} \\
&&\mathbb{E}(N) &= \sum_{k=2}^\infty k \cdot \mathbb{P}(N=k) \\
&&&= \sum_{k=2}^{\infty} \frac{k(k-1)}{k!} \\
&&&= \sum_{k=0}^{\infty} \frac{1}{k!} = e \\
&& \textrm{Var}(N) &= \mathbb{E}(N^2) - \mathbb{E}(N)^2 \\
&& \mathbb{E}(N^2) &= \sum_{k=2}^{\infty} k^2 \mathbb{P}(N=k)  \\
&&&= \sum_{k=2}^{\infty} \frac{k^2(k-1)}{k!}  \\
&&&= \sum_{k=0}^{\infty} \frac{k+2}{k!} \\
&&&= \sum_{k=0}^{\infty} \frac{1}{k!} + 2 \sum_{k=0}^{\infty} \frac{1}{k!} = 3e \\
\Rightarrow && \textrm{Var}(N) &= 3e-e^2
\end{align*}