QuestionBy examining the past driving records of drivers in a certain city, an insurance company has determined the (empirical) probabilities in the table to the right. Use the (empirical) probabilities to complete parts $(A)$ and $(B)$ below. \begin{tabular}{|c|c|c|c|} \hline \multirow[t]{2}{*}{} & \multicolumn{3}{|l|}{Miles Driven per Year} \\ \hline & $$\begin{array}{c} \hline \text { Less } \\ \text { Than } \\ 10,009 \\ \mathrm{M}_{1} \end{array}$$ & \begin{tabular}{l} $$\begin{array}{c} 10,000- \\ 15,000 \end{array}$$ \\ Inclusive, $$M_{2}$$ \end{tabular} & $$\begin{array}{c} \text { More } \\ \text { Than } \\ 15,000 \text {, } \\ \mathrm{M}_{3} \end{array}$$ \\ \hline Accident A & 0.10 & 0.20 & 0.20 \\ \hline No Accident $\mathrm{A}^{\prime}$ & 0.05 & 0.20 & 0.25 \\ \hline Totals & 0.15 & 0.40 & 0.45 \\ \hline \end{tabular} (A) Find the probability that a city driver selected at random drives more than 15,000 miles per year or has an accident.
The probability is 0.75 . (Type an integer or a decimal.) (B) Find the probability that a city driver selected at random drives 15,000 or fewer miles per year and has an accident.
The probability is $\square$ (Type an integer or a decimal.)