2004 Paper 1 Q13

Year: 2004
Paper: 1
Question Number: 13

Course: LFM Stats And Pure
Section: Continuous Uniform Random Variables

Difficulty: 1500.0 Banger: 1458.1

Problem

  1. Three real numbers are drawn independently from the continuous rectangular distribution on \([ 0, 1 ]\,\). The random variable \(X\) is the maximum of the three numbers. Show that the probability that \(X \le 0.8\) is \(0.512\,\), and calculate the expectation of \(X\).
  2. \(N\) real numbers are drawn independently from a continuous rectangular distribution on \([ 0, a ]\,\). The random variable \(X\) is the maximum of the \(N\) numbers. A hypothesis test with a significance level of 5\% is carried out using the value, \(x\), of \(X \). The null hypothesis is that \(a=1\) and the alternative hypothesis is that \(a<1 \,\). The form of the test is such that \(H_0\) is rejected if \(x < c\,\), for some chosen number \(c\,\). Using the approximation \(2^{10} \approx 10^3\,\), determine the smallest integer value of \(N\) such that if \(x \le 0.8\) the null hypothesis will be rejected. With this value of \(N\), write down the probability that the null hypothesis is rejected if \(a = 0.8\,\), and find the probability that the null hypothesis is rejected if \(a = 0.9\,\).

Solution

\begin{align*} \P(X \leq 0.8) &= \P(X_1 \leq 0.8,X_2 \leq 0.8,X_3 \leq 0.8) \\ &= 0.8^3 \\ &= 0.512 \end{align*} \begin{align*} && \P(X < c) &= c^3 \\ \Rightarrow && f_X(x) &= 3x^2 \\ \Rightarrow && \E[X] &= \int_0^1 x \cdot (3x^2) \, dx \\ && &= \left [ \frac{3}{4}x^4 \right]_0^1 \\ &&&= \frac{3}{4} \end{align*} \(X\) is distributed the maximum of \(N\) numbers on \([0,a]\). \begin{align*} H_0 : & x= 1 \\ H_1 : & x < 1 \end{align*} \begin{align*} &&\P(X < c) &= c^N \\ &&&= \frac1{20} \\ \Rightarrow && N &= -\frac{\log(20)}{\log(c)} \end{align*} where \(c = 0.8\), we have \begin{align*} N &= \frac{\log(20)}{\log(5/4)} \\ &= \frac{\log(5)+\log(4)}{\log(5)-\log(4)} \\ &= \frac{ \frac{\log(5)}{\log(4)}+1}{\frac{\log(5)}{\log(4)} - 1} \end{align*} \begin{align*} && 2^{10} &\approx 10^{3} \\ && 10\log(2) &\approx 3 (\log(5) + \log(2)) \\ && 7\log(2) &\approx 3 \log(5) \\ && \frac{\log(5)}{2\log(2)} &\approx \frac{7}{6} \end{align*} \begin{align*} &= \frac{ \frac{\log(5)}{\log(4)}+1}{\frac{\log(5)}{\log(4)} - 1} &= \frac{\frac{7}{6} + 1}{\frac{7}{6} -1} \\ &= 13 \end{align*} Since \(2^{10} > 10^3\) then \(N=14\) is the value we seek. \(\P(X < 0.8 | a= 0.8) = 1\) \(\P(X < 0.8 | a= 0.9, N=14) = \frac{8^{14}}{9^{14}}\)
Rating Information

Difficulty Rating: 1500.0

Difficulty Comparisons: 0

Banger Rating: 1458.1

Banger Comparisons: 7

Show LaTeX source
Problem source
\begin{questionparts}
\item Three real numbers are drawn independently from the continuous 
rectangular distribution on $[ 0, 1 ]\,$. The random variable $X$ is the maximum of the 
three numbers. Show that the probability that $X \le 0.8$ is $0.512\,$, and calculate the
 expectation of $X$. 
\item $N$ real numbers are 
drawn independently from a continuous rectangular distribution on $[ 0, a ]\,$. 
The random variable $X$ is the maximum of the $N$ numbers. 
A hypothesis test  with a significance level of 5\% is carried out using  the value, $x$, of
  $X $. 
The null hypothesis is that $a=1$ and 
the alternative hypothesis is that $a<1 \,$. The form of the test is such that
$H_0$ is rejected 
if $x < c\,$, for some chosen number $c\,$.
Using the approximation 
 $2^{10} \approx 10^3\,$, determine the smallest 
integer value of $N$ such that if $x \le 0.8$ 
the null hypothesis will be rejected.
With this value of $N$,
write down the probability that the null hypothesis is rejected if $a = 0.8\,$, 
and find  the probability that the null hypothesis is rejected if $a = 0.9\,$.
\end{questionparts}
Solution source
\begin{align*}
\P(X \leq 0.8) &= \P(X_1 \leq 0.8,X_2 \leq 0.8,X_3 \leq 0.8) \\
&= 0.8^3 \\
&= 0.512
\end{align*}

\begin{align*}
&& \P(X < c) &= c^3 \\
\Rightarrow && f_X(x) &= 3x^2 \\
\Rightarrow && \E[X] &= \int_0^1 x \cdot (3x^2) \, dx \\
&& &= \left [ \frac{3}{4}x^4 \right]_0^1 \\
&&&= \frac{3}{4}
\end{align*}

$X$ is distributed the maximum of $N$ numbers on $[0,a]$.
\begin{align*}
H_0 : & x= 1 \\
H_1 : & x < 1
\end{align*}

\begin{align*}
&&\P(X < c) &= c^N \\
&&&= \frac1{20} \\
\Rightarrow && N &= -\frac{\log(20)}{\log(c)}
\end{align*}
where $c = 0.8$, we have 
\begin{align*}
N &= \frac{\log(20)}{\log(5/4)} \\
&= \frac{\log(5)+\log(4)}{\log(5)-\log(4)} \\
&= \frac{ \frac{\log(5)}{\log(4)}+1}{\frac{\log(5)}{\log(4)} - 1}
\end{align*}

\begin{align*}
&& 2^{10} &\approx 10^{3} \\
&& 10\log(2) &\approx 3 (\log(5) + \log(2)) \\
&& 7\log(2) &\approx 3 \log(5) \\
&& \frac{\log(5)}{2\log(2)} &\approx \frac{7}{6}
\end{align*}

\begin{align*}
&= \frac{ \frac{\log(5)}{\log(4)}+1}{\frac{\log(5)}{\log(4)} - 1}
&= \frac{\frac{7}{6} + 1}{\frac{7}{6} -1} \\
&= 13
\end{align*}

Since $2^{10} > 10^3$  then $N=14$ is the value we seek.

$\P(X < 0.8 | a= 0.8) = 1$
$\P(X < 0.8 | a= 0.9, N=14) = \frac{8^{14}}{9^{14}}$