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\begin{flushright}
Name \underline{\hspace{60mm}} \\ 
$\,$ \\
Student Number \underline{\hspace{60mm}}
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\begin{center}   
{\Large \textbf{STA 442/2101 F 2012 Quiz 10}}\\
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\end{center}

\noindent
The questions in this quiz are based on your analysis of the Birth Weight Data with SAS, in homework Question 3.

    \begin{enumerate}
        \item (4 Points) \label{eqslopes} Test whether the slopes of the three regression lines are equal.
        \begin{enumerate}
            \item \label{eqslopesF} What is the value of the test statistic? The answer is a number from your printout. Write the number below, and also circle it on your printout. On the printout, write ``Question \ref{eqslopesF}" beside the number. % F = 0.30
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            \item \label{eqslopesP} What is the $p$-value?  The answer is a number from your printout. Write the number below, and also circle it on your printout. On the printout, write ``Question \ref{eqslopesP}" beside the number. % p = 0.7440
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            \item In plain, non-statistical language, what do you conclude from this test? \emph{Do not say anything about regression lines or slopes. Express the conclusion in another way.}
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        \end{enumerate}

        \item (4 Points) \label{racediff} Base this on the model with no interactions. Controlling for mother's weight, are there average race differences in the baby's weight?
  
        \begin{enumerate}
            \item \label{racediffF} What is the value of the test statistic \emph{for the initial test}? The answer is a number from your printout. Write the number below, and also circle it on your printout. On the printout, write ``Question \ref{racediffF}" beside the number. % F = 5.19
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            \item \label{racediffP} What is the $p$-value?  The answer is a number from your printout. Write the number below, and also circle it on your printout. On the printout, write ``Question \ref{racediffP}" beside the number. % p = 0.0064
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            \item In plain, non-statistical language, what do you conclude? \emph{Base your conclusions on the multiple comparisons, using joint $\alpha = 0.05$.}
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        \end{enumerate}

        \item (2 Points) \label{Bcritical} When you treated the Studentized deleted residuals as test statistics with a Bonferroni correction, what critical value did you use? The answer is a number from your printout. Write the number below, and also circle it on your printout. On the printout, write ``Question \ref{Bcritical}" beside the number. % 3.7199023

            \end{enumerate}

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\begin{center}\textbf{Please attach your log file and your list file.} Make sure your name is written on both files. \end{center}

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