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\begin{document}

% Don't want date printed
%\date{January 23, 2003}

% Make title bold and 14 pt font (Latex default is non-bold, 16pt)
\title{Stat312: Midterm Makeup Exam I.}

% For single author (just remove % characters)
\author{Instructor: Moo K. Chung\\
mchung@stat.wisc.edu}
% For two authors (default example)
\maketitle
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\begin{center}
\small
Answer all questions clearly and {\bf circle your final answer}.\\
Your answers should be correct up to the {\bf second decimal places}.\\
One page note and a calculator are allowed.\\
No textbooks, scrap papers or hand-held computers, PDA are allowed.\\
This exam booklet consists of {\bf 3 problems} and {\bf 6 pages}.\\

\vspace{1cm}
\large
{\bf Name:}\underline{\hspace{10.5cm}}\\
{\bf Student ID:}\underline{\hspace{10cm}}\\

\normalsize
\vspace{1cm}
Pledge: On my honor, I have neither given nor received unauthorized\\
aids on this examination.\\
\vspace{1cm}
\large
{\bf Signature:}\underline{\hspace{10cm}}\\
\vspace{1cm}

\begin{tabular}{|r|l|c|}\hline
Question & Points}\\
\hline
1 & \\
\hline
2 & \\
\hline
3 & \\
%\hline
%4&\\
\hline
%5&\\
%\hline
%4 & \\
%\hline
Total & \\
\hline
\end{tabular}
\end{center}

\newpage
%
%\begin{verbatim}
%> qnorm(c(0.99,0.975,0.95,0.925,0.9))
%[1] 2.33, 1.96, 1.64, 1.44, 1.28
%> qt(c(0.99,0.975,0.95,0.925,0.9),2)
%[1] 6.96 4.303 2.92 2.28 1.89
%> qt(c(0.99,0.975,0.95,0.925,0.9),3)
%[1] 4.54 3.18 2.35 1.92 1.64
%> qt(c(0.99,0.975,0.95,0.925,0.9),4)
%[1] 3.75 2.77 2.13 1.78 1.53 x
%\end{verbatim}


\begin{enumerate}

\item Suppose a random sample $X_1, \cdots, X_n$ are coming from a normal distribution
with mean $\mu$ and variance $\sigma^2$. We are interested in
estimating $\mu$ and $\sigma^2$.
 \begin{itemize}
\item[(1)] Write the likelihood function (5pts).

\item[(2)] By maximizing the likelihood function, find the maximum likelihood
estimators for $\mu$ and $\sigma^2$. Derive everything (5pts).
\newpage
\item[(3)] Determine if the estimator for $\sigma^2$ in (2) is unbiased (5pts, no point given if (2) is not solved).

\item[(4)] What is the moment estimator of $\sigma^2$? Derive everything (5pts).
\end{itemize}
\newpage
\item Suppose we toss $10$ identical coins and observed 4 heads.
Let $p$ be the probability of getting head when a single coin is
tossed.


\item[(1)] Write the likelihood function. Properly define all variables you are using (5pts).

\item[(2)] By maximizing the likelihood function, find the maximum likelihood
estimator for $p$. Derive everything (5pts).
\newpage

\item[(3)] What is the maximum likelihood estimator for the
probability of getting tail?

\newpage


\item The following 10 sample observations on breakdown voltage of a particular circuit under certain
condition is given.
$$62, 50, 53, 57, 41, 53, 55, 61, 59, 64.$$

\item[(1)] What is the sample mean and the sample variance of the breakdown voltage? (5pts).
\item[(2)] Construct $98\%$ confidence interval for the mean breakdown voltage. What is the
statistical assumptions you are making to construct the confidence
interval? You may use the following {\tt R} output (5pts).

\begin{verbatim}
> qnorm(1:10/100)
> [1] -2.326348 -2.053749 -1.880794 -1.750686 -1.644854
> [6] -1.554774 -1.475791 -1.405072 -1.340755 -1.281552
\end{verbatim}
\end{enumerate}


\end{document}