The table shows the distribution, by age and gender, of the 29.8 million people who live alone in a certain region. Use the data in the table to find the probability that a randomly selected person living alone in the region is in the 25-34 age range.
\begin{tabular}{|l|c|c|c|c|c|c|c|}
\hline & $\begin{array}{l}\text { Ages } \\
18-24\end{array}$ & $\begin{array}{l}\text { Ages } \\
25-34\end{array}$ & $\begin{array}{l}\text { Ages } \\
35-44\end{array}$ & $\begin{array}{l}\text { Ages } \\
45-64\end{array}$ & $\begin{array}{l}\text { Ages } \\
65-74\end{array}$ & $\begin{array}{l}\text { Ages } \\
\geq 75\end{array}$ & Total \\
\hline Male & 0.8 & 2.6 & 2.5 & 4.9 & 1.6 & 1.9 & 14.3 \\
\hline Female & 0.7 & 1.8 & 1.8 & 4.0 & 2.4 & 4.8 & 15.5 \\
\hline Total & 1.5 & 4.4 & 4.3 & 8.9 & 4.0 & 6.7 & 29.8 \\
\hline
\end{tabular}
The probability is
(Type an integer or decimal rounded to the nearest hundredth as needed.)

Step 1 ：The question is asking for the probability that a randomly selected person living alone in the region is in the 25-34 age range. From the table, we can see that there are 4.4 million people in the 25-34 age range. The total number of people living alone in the region is 29.8 million.

Step 2 ：So, the probability would be the number of people in the 25-34 age range divided by the total number of people living alone in the region.

Step 3 ：Let's denote the total number of people as \(T\) and the number of people in the 25-34 age range as \(P\). So, \(T = 29.8\) million and \(P = 4.4\) million.

Step 4 ：The probability \(Pr\) can be calculated as \(Pr = \frac{P}{T}\).

Step 5 ：Substituting the values, we get \(Pr = \frac{4.4}{29.8} = 0.1476510067114094\).

Step 6 ：Rounding to the nearest hundredth, we get \(Pr = 0.15\).

Step 7 ：Final Answer: The probability that a randomly selected person living alone in the region is in the 25-34 age range is approximately \(\boxed{0.15}\).