The table shows the distribution, by age and gender, of the 30.1 million people in a certain region who live alone. Use the data in the table to find the probability that a randomly selected person living alone in the region is male.
\begin{tabular}{|l|c|c|c|c|c|c|c|}
\hline & \begin{tabular}{l}
Ages \\
$18-24$
\end{tabular} & \begin{tabular}{l}
Ages \\
$25-34$
\end{tabular} & \begin{tabular}{l}
Ages \\
$35-44$
\end{tabular} & \begin{tabular}{l}
Ages \\
$45-64$
\end{tabular} & \begin{tabular}{l}
Ages \\
$65-74$
\end{tabular} & \begin{tabular}{c}
Ages \\
275
\end{tabular} & Total \\
\hline Male & 0.7 & 29 & 2.8 & 4.8 & 1.5 & 1.4 & 14.1 \\
\hline Female & 0.8 & 1.3 & 1.7 & 5.0 & 27 & 4.5 & 16.0 \\
\hline Total & 1.5 & 4.2 & 4.5 & 9.8 & 42 & 5.9 & 30.1 \\
\hline
\end{tabular}

The probability is $\square$
(Type an integer or decimal rounded to the nearest hundredth as needed)

Step 1 ：The problem provides a table that shows the distribution, by age and gender, of the 30.1 million people in a certain region who live alone.

Step 2 ：We are asked to find the probability that a randomly selected person living alone in the region is male.

Step 3 ：From the table, we can see that the total number of males living alone is 14.1 million.

Step 4 ：The total population of people living alone is 30.1 million.

Step 5 ：The probability of an event is calculated by dividing the number of ways the event can occur by the total number of outcomes. In this case, the event is selecting a male, and the total number of outcomes is the total population.

Step 6 ：So, the probability that a randomly selected person living alone in the region is male is calculated as follows: \(\frac{14.1}{30.1}\).

Step 7 ：Calculating the above expression gives approximately 0.46843853820598.

Step 8 ：Rounding to the nearest hundredth, we get \(\boxed{0.47}\).

Step 9 ：So, the probability that a randomly selected person living alone in the region is male is approximately \(\boxed{0.47}\).