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\begin{document}
\section{The Course}

\subsection{The website}

You can access the website by going to the Department of Statistics
website\medskip

\begin{center}
www.stats.ox.ac.uk/current\_students/bammath/course\_material
\end{center}

\noindent and finding Part A: Statistics in the Lecture Notes section.\bigskip
\newline\textbf{ALTERNATIVELY\bigskip\newline}Go straight to\medskip

\begin{center}
www.stats.ox.ac.uk/\symbol{126}myers/stats\_materials.html
\end{center}

\noindent The website begins with a \textbf{STOP PRESS} noticeboard which is
used for announcements.\medskip\newline There will be sections on:\medskip

\begin{itemize}
\item Lecture notes: these will be exactly the same as the OHP slides I shall
use and will require annotations and additions during the lectures.

\item Problem sheets: these are for tutorials - there will be no hard copy hand-outs.

\item Data sets used for illustration and practice.

\item An introduction to the statistical computer package R. Although the
course does not contain compulsory practicals, you may find it useful to try
some analyses for yourself. This package is the one used for the third-year
course BS1: Applied Statistics and may be downloaded free of charge from the web.
\end{itemize}

The R package is available free of charge on the web. Go to the web
address\medskip

\begin{center}
www.stats.bris.ac.uk/R/\bigskip
\end{center}

\noindent and download (if you're using Windows) by following the
sequence\bigskip

\begin{center}
Windows (95 and later)\quad$\rightarrow\quad$base$\quad\rightarrow\quad
$R-2.4.1-win32.exe\bigskip

with versions and available similarly for Linux, Mac platforms too.

\bigskip
\end{center}

\textit{An Introduction to R} by W.N. Venables and D.M. Smith can be obtained
by following the sequence\bigskip

\begin{center}
Manual\quad$\rightarrow\quad$An Introduction to R\newpage
\end{center}

\subsection{The plan}

\begin{itemize}
\item "Skeleton" lecture notes will be provided on the web. You are expected
to bring these to lectures and augment them.

\item The notes will appear on the website ahead of the lectures in order to
give you time to download them and bring them along.

\item I shall revise bits of Mods statistics and cover bits of probability as
and when we need them.

\item We shall begin the A5 material proper with the important topic of
\emph{Estimation}.

\item The next topic will be \emph{Hypothesis Testing}, which will be entirely
new to you.

\item \emph{Confidence intervals} will be revisited in the light of the new
theory you have covered.

\item The final topic will be \emph{Regression}, with which you already have a
brief acquaintance from the simple treatment you met in Mods.
\end{itemize}


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