Figure:
Suppose That in the Course of Testing Whether Salary $\text { Pooled }$

Multiple Choice

Figure:
Suppose that in the course of testing whether salary functions differ for males and females,you estimate the pooled and male and female results in Figure 6.4. $\text { Pooled }$

$\begin{array}{l}\text { ANOVA }\\\begin{array}{lccccc}\hline & d f & S S & M S & F & \text { Significance } F \\\hline \text { Regression } & 4 & 2.30931 \mathrm{E}+12 & 5.77328 \mathrm{E}+11 & 282.1787278 & 1.2198 \mathrm{E}-215 \\\text { Residual } & 4286 & 8.76901 \mathrm{E}+12 & 2045965635 & & \\\text { Total } & 4290 & 1.10783 \mathrm{E}+13 & & & \\\hline\end{array}\end{array}$


$\text { Male }$

$\begin{array}{l}\text { ANOVA }\\\begin{array}{lccccc}\hline & d f & S S & M S & F & \text { Significance } F \\\hline \text { Regression } & 4 & 1.54309 \mathrm{E}+12 & 3.85772 \mathrm{E}+11 & 131.8489492 & 9.4649 \mathrm{E}-101 \\\text { Residual } & 2136 & 6.24964 \mathrm{E}+12 & 2925860190 & & \\\text { Total } & 2140 & 7.79272 \mathrm{E}+12 & & & \\\hline\end{array}\end{array}$

$\text { Female }$

$\begin{array}{lccccc} \text { ANOVA }\\\hline& \text { of } & S S & M S & F & \text { Significance } F \\\hline \text { Regression } & 4 & 6.15055 \mathrm{E}+11 & 1.53764 \mathrm{E}+11 & 153.1758618 & 2.2255 \mathrm{E}-115 \\\text { Residual } & 2145 & 2.15323 \mathrm{E}+12 & 1003838471 & & \\\text { Total } & 2149 & 2.76829 \mathrm{E}+12 & & &\\\hline\end{array}$
Figure 6.4
-Based on the results of you the Chow test in Figure 6.4 you should

A) focus on the pooled sample results.
B) focus on the male and female subsample results.
C) collect more data that does not fail the Chow test.
D) focus on the male results only.