1990 Paper 3 Q15

Year: 1990
Paper: 3
Question Number: 15

Course: LFM Stats And Pure
Section: Geometric Distribution

Difficulty: 1700.0 Banger: 1482.6

Problem

An unbiased twelve-sided die has its faces marked \(A,A,A,B,B,B,B,B,B,B,B,B.\) In a series of throws of the die the first \(M\) throws show \(A,\) the next \(N\) throws show \(B\) and the \((M+N+1)\)th throw shows \(A\). Write down the probability that \(M=m\) and \(N=n\), where \(m\geqslant0\) and \(n\geqslant1.\) Find
  1. the marginal distributions of \(M\) and \(N\),
  2. the mean values of \(M\) and \(N\).
Investigate whether \(M\) and \(N\) are independent. Find the probability that \(N\) is greater than a given integer \(k\), where \(k\geqslant1,\) and find \(\mathrm{P}(N > M).\) Find also \(\mathrm{P}(N=M)\) and show that \(\mathrm{P}(N < M)=\frac{1}{52}.\)

Solution

\begin{align*} \mathbb{P}(M = m, N = n) &= \left ( \frac{3}{12} \right)^m \left ( \frac{9}{12} \right)^n \frac{3}{12} \\ &= \frac{3^n}{4^{m+n+1}} \end{align*}
  1. \begin{align*} \mathbb{P}(M = m) &= \sum_{n = 1}^{\infty} \mathbb{P}(M=m,N=n) \\ &= \sum_{n = 1}^{\infty} \frac{3^n}{4^{m+n+1}} \\ &= \frac{1}{4^{m+1}} \sum_{n = 1}^{\infty} \left ( \frac34\right)^n \\ &= \frac{1}{4^{m+1}} \frac{3/4}{1/4} \\ &= \frac{3}{4^{m+1}} \\ \\ \mathbb{P}(N = n) &= \sum_{m = 0}^{\infty} \mathbb{P}(M=m,N=n) \\ &= \sum_{m = 0}^{\infty} \frac{3^n}{4^{m+n+1}} \\ &= \frac{3^n}{4^{n+1}} \sum_{m = 0}^{\infty} \left ( \frac14\right)^n \\ &= \frac{3^n}{4^{n+1}} \frac{1}{3/4} \\ &= \frac{3^{n-1}}{4^{n}} \\ \end{align*}
  2. \(M+1 \sim Geo(\frac34) \Rightarrow \mathbb{E}(M) = \frac43 -1 = \frac13\) \(N \sim Geo(\frac14) \Rightarrow \mathbb{E}(N) = 4\)
\(M,N\) are independent since \(\mathbb{P}(M = m, N =n ) = \mathbb{P}(M=m)\mathbb{P}(N=n)\) \begin{align*} \mathbb{P}(N > k) &= \sum_{n=k+1}^{\infty} \mathbb{P}(N = n) \\ &= \sum_{n=k+1}^{\infty} \frac{3^{n-1}}{4^{n}} \\ &= \frac{3^k}{4^{k+1}} \sum_{n = 0}^{\infty} \left ( \frac34\right)^n \\ &= \frac{3^k}{4^{k+1}} \frac{1}{1/4} \\ &= \frac{3^k}{4^k} \end{align*} \begin{align*} \mathbb{P}(N > M) &= \sum_{m=0}^{\infty} \mathbb{P}(N > m) \mathbb{P}(M = m) \\ &= \sum_{m=0}^{\infty} \left (\frac34 \right)^m \frac{3}{4^{m+1}}\\ &=\sum_{m=0}^{\infty} \frac{3^{m+1}}{4^{2m+1}}\\ &= \frac{3}{4} \frac{1}{13/16} \\ &= \frac{12}{13} \\ \\ \mathbb{P}(N=M) &= \sum_{m=1}^{\infty} \mathbb{P}(N=m, M=m) \\ &= \sum_{m=1}^{\infty} \frac{3^m}{4^{2m+1}} \\ &= \frac{3}{64} \sum_{m=0}^{\infty} \left ( \frac{3}{16} \right)^m \\ &= \frac{3}{64} \frac{1}{13/16} \\ &= \frac{3}{52}\\ \\ \mathbb{P}(N < M) &= 1 - \frac34 - \frac3{52} \\ &= 1 - \frac{48}{52} - \frac{3}{52} \\ &= 1 - \frac{51}{52} \\ &= \frac{1}{52} \end{align*}
Rating Information

Difficulty Rating: 1700.0

Difficulty Comparisons: 0

Banger Rating: 1482.6

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Problem source
An unbiased twelve-sided die has its faces marked $A,A,A,B,B,B,B,B,B,B,B,B.$
In a series of throws of the die the first $M$ throws show $A,$ the next $N$ throws show $B$ and the $(M+N+1)$th throw shows $A$.
Write down the probability that $M=m$ and $N=n$, where $m\geqslant0$ and $n\geqslant1.$ Find
\begin{questionparts}
\item the marginal distributions of $M$ and $N$, 
\item the mean values of $M$ and $N$. 
\end{questionparts}
Investigate whether $M$ and $N$ are independent. 
Find the probability that $N$ is greater than a given integer $k$, where $k\geqslant1,$ and find $\mathrm{P}(N > M).$ Find also $\mathrm{P}(N=M)$
and show that $\mathrm{P}(N < M)=\frac{1}{52}.$
Solution source
\begin{align*}
\mathbb{P}(M = m, N = n) &= \left ( \frac{3}{12} \right)^m \left ( \frac{9}{12} \right)^n \frac{3}{12} \\
&= \frac{3^n}{4^{m+n+1}} 
\end{align*}

\begin{questionparts}
\item
\begin{align*}
\mathbb{P}(M = m) &= \sum_{n = 1}^{\infty} \mathbb{P}(M=m,N=n) \\
&= \sum_{n = 1}^{\infty} \frac{3^n}{4^{m+n+1}} \\
&= \frac{1}{4^{m+1}} \sum_{n = 1}^{\infty} \left ( \frac34\right)^n \\
&= \frac{1}{4^{m+1}} \frac{3/4}{1/4} \\
&= \frac{3}{4^{m+1}} \\
\\
\mathbb{P}(N = n) &= \sum_{m = 0}^{\infty} \mathbb{P}(M=m,N=n) \\
&= \sum_{m = 0}^{\infty} \frac{3^n}{4^{m+n+1}} \\
&= \frac{3^n}{4^{n+1}} \sum_{m = 0}^{\infty} \left ( \frac14\right)^n \\
&= \frac{3^n}{4^{n+1}} \frac{1}{3/4} \\
&= \frac{3^{n-1}}{4^{n}} \\
\end{align*}

\item $M+1 \sim Geo(\frac34) \Rightarrow \mathbb{E}(M) = \frac43 -1 = \frac13$

$N \sim Geo(\frac14) \Rightarrow \mathbb{E}(N) = 4$
\end{questionparts}

$M,N$ are independent since $\mathbb{P}(M = m, N =n ) = \mathbb{P}(M=m)\mathbb{P}(N=n)$

\begin{align*}
\mathbb{P}(N > k) &= \sum_{n=k+1}^{\infty} \mathbb{P}(N = n) \\
&= \sum_{n=k+1}^{\infty} \frac{3^{n-1}}{4^{n}} \\
&= \frac{3^k}{4^{k+1}} \sum_{n = 0}^{\infty} \left ( \frac34\right)^n \\
&= \frac{3^k}{4^{k+1}} \frac{1}{1/4} \\
&= \frac{3^k}{4^k}
\end{align*}

\begin{align*}
\mathbb{P}(N > M) &= \sum_{m=0}^{\infty} \mathbb{P}(N > m) \mathbb{P}(M = m) \\
&= \sum_{m=0}^{\infty} \left (\frac34 \right)^m \frac{3}{4^{m+1}}\\ 
&=\sum_{m=0}^{\infty} \frac{3^{m+1}}{4^{2m+1}}\\
&= \frac{3}{4} \frac{1}{13/16} \\
&= \frac{12}{13} \\
\\
\mathbb{P}(N=M) &= \sum_{m=1}^{\infty} \mathbb{P}(N=m, M=m) \\
&=  \sum_{m=1}^{\infty} \frac{3^m}{4^{2m+1}} \\
&= \frac{3}{64} \sum_{m=0}^{\infty} \left ( \frac{3}{16} \right)^m \\
&= \frac{3}{64} \frac{1}{13/16} \\
&= \frac{3}{52}\\
\\
\mathbb{P}(N < M) &= 1 - \frac34 - \frac3{52} \\
&= 1 - \frac{48}{52} - \frac{3}{52} \\
&= 1 - \frac{51}{52} \\
&= \frac{1}{52}
\end{align*}