
\begin{slide}
\subsection{\bf Table of Contents}

\begin{tabular}{llr}
1 & {\bf Basic Definitions and Results} & 5 \\
1.1 & Basic Definitions and Results & 6 \\
1.2 & Bayes Theorem & 11 \\
1.3 & Continuous Distributions & 20 \\
1.4 & Functions of a Random Variable & 23 \\
1.5 & Properties of Joint Distribution Functions & 27 \\
1.6 & Means, Moments, Correlations & 29 \\
1.7 & Central Limit Theorem & 43 \\
&& \\
2 & {\bf Feefoefum in Las Vegas:} & 62 \\
& {\bf Combinatoric and Discrete Probability} & \\
2.1 & Binomial and Poisson Distributions & 63 \\
2.2 & Birth and Death Processes & 78 \\
&& \\
3 & {\bf Estimation of Parameters} & 89 \\
3.1 & Maximum Likelihood Principle & 90 \\
3.2 & $\chi^2$ Method & 121 \\
3.3 & Counter Physics & 132 \\
3.4 & Bubble Chamber & 139 \\
\end{tabular}
\end{slide}

\begin{slide}
\begin{tabular}{llr}
4 & {\bf Minimization} & 157 \\
4.1 & Statement of Problem & 158 \\
4.2 & Derivative Formalism for $\chi^2$ & 159 \\
4.3 & The Derivative Method for $\chi^2$ & 165 \\
4.4 & The Real World and $\chi^2$ Minimization & 168 \\
&& \\
5 & {\bf Goodness of Fit} & 180 \\
5.1 & The $\chi^2$ Distribution & 181 \\
5.2 & Confidence Level & 185 \\
5.3 & Bartlett's $S$ Function & 189 \\
5.4 & Hypothesis Testing & 191 \\
5.5 & Student's $t$ Distribution & 194 \\
5.6 & Robust Estimation & 197 \\
&& \\
6 & {\bf Generation of Random Numbers} & 211 \\
\end{tabular}
\end{slide}

