Example 3. ( Two tables, side by side.)

Test
H0:	$\mu = \mu_0$	against	Ha:	$\mu < \mu_0$
H0:	$\mu \geq \mu_0$	against	Ha:	$\mu < \mu_0$
H0:	$\mu = \mu_0$	against	Ha:	$\mu > \mu_0$
H0:	$\mu \leq \mu_0$	against	Ha:	$\mu > \mu_0$
H0:	$\mu = \mu_0$	against	Ha:	$\mu \neq \mu_0$

Rejection Region

$Z < -Z(\alpha)$

$Z < -Z(\alpha)$

$Z > Z(\alpha) \;\;\;$

$Z > Z(\alpha) \;\;\;$

$Z < -Z(\alpha/2)$ or $Z > Z(\alpha/2)$

Tex File to Produce Table Examples

\documentstyle[12pt]{article}
\input tex-set
\begin{document}
\newpage
%
\begin{center}
subsection{Examples of Tables} \vspace{.2in}
\end{center}
%
\paragraph{} \noindent {\bf Example 1.}
\begin{center}
 \begin{tabular}{c c c|c} 
  &  &  \multicolumn{2}{c}{\bf State of Nature} \\ 
  &  &  \multicolumn{1}{|c|}{$H_0$ is true} &  $H_a$ is true \\ \cline{2-4}
  {\bf Decision} & reject $H_0$ 
     & \multicolumn{1}{|c|}{Error of Type I} & Correct decision \\ \cline{2-4}
                 & accept $H_0$ 
     & \multicolumn{1}{|c|}{Correct decision} & Error of Type II \\ \cline{2-4}
 \end{tabular}\vspace{.1in} \\
Fig 1. Error Analysis 
\end{center}
%
\paragraph{} \noindent {\bf Example 2.}
\begin{center}  
Table 2.\vspace{.2in} \\
 \begin{tabular}{l l p{4.9in}} 
     example & 1. & The average weight of newborn (full-term) Caucasian
                    males in the U.S. from 1970 to 1980 is at most 7 lbs.\\
             &    &   \\
             & 2. & 40{\%} of U.T.E.P. undergraduates were over age 25 on
                    September 1,1984.\\
  \end{tabular}\\ 
\end{center}
%
\paragraph{} \noindent {\bf Example 3.} ( Two tables, side by side.) 
\vspace{.1in} \\
 \begin{tabular}{c c c c c}
    \multicolumn{5}{c}{ \underline{Test}} \\
     $H_0$: & $\mu   =  \mu_0$ & against & $H_a$: & $\mu  <   \mu_0$ \\
     $H_0$: & $\mu \geq \mu_0$ & against & $H_a$: & $\mu  <   \mu_0$ \\
     $H_0$: & $\mu   =  \mu_0$ & against & $H_a$: & $\mu  >   \mu_0$ \\
     $H_0$: & $\mu \leq \mu_0$ & against & $H_a$: & $\mu  >   \mu_0$ \\
     $H_0$: & $\mu   =  \mu_0$ & against & $H_a$: & $\mu \neq \mu_0$ \\
 \end{tabular} 
\hspace{.8in}
 \begin{tabular}{c}
    \underline{Rejection Region} \\
     $Z < -Z(\alpha)$ \\
     $Z < -Z(\alpha)$ \\
     $Z >  Z(\alpha) \;\;\;$ \\
     $Z >  Z(\alpha) \;\;\;$ \\
     $Z < -Z(\alpha/2)$ or $Z > Z(\alpha/2)$ \\
 \end{tabular}
%
\end{document}