(b) Use the table to find \( P(A \cup B) \). Give a long-run relative frequency interpretation of this probability.
In part (a) we created the following table.
\begin{tabular}{|c|c|r|r|}
\hline & \multicolumn{1}{|c|}{\( \boldsymbol{A} \)} & Not \( \boldsymbol{A} \) & Total \\
\hline \( \boldsymbol{B} \) & 60 & 140 & 200 \\
\hline Not \( \boldsymbol{B} \) & 240 & 560 & 800 \\
\hline Total & 300 & 700 & 1,000 \\
\hline
\end{tabular}
Use the table to find \( P(A \cup B) \).
\[
\begin{aligned}
P(A \cup B) & =\frac{\text { number who purchase both }+ \text { number who only purchase gas }+ \text { number who only purchase GPS }}{\text { total number of renters in the table }} \\
& =\square
\end{aligned}
\]
Therefore, in the long run, we expect that \( \square \) \% of car renters will pre-purchase gas or rent a GPS or \( \square \) both
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