The table shows the distribution, by age and gender, of the 28.6 million people in a certain region who live alone. Use the data in the table to find the probability that a randomly selected person in the region is a woman in the 18-24 age range living alone.

\begin{tabular}{|l|c|c|c|c|c|c|c|}
\hline & \begin{tabular}{l}
Ages \\
[tex]$18-24$[/tex]
\end{tabular} & \begin{tabular}{l}
Ages \\
[tex]$25-34$[/tex]
\end{tabular} & \begin{tabular}{l}
Ages \\
[tex]$35-44$[/tex]
\end{tabular} & \begin{tabular}{l}
Ages \\
[tex]$45-64$[/tex]
\end{tabular} & \begin{tabular}{l}
Ages \\
[tex]$65-74$[/tex]
\end{tabular} & \begin{tabular}{l}
Ages \\
[tex]$75+$[/tex]
\end{tabular} & Total \\
\hline Man & 0.6 & 2.1 & 2.6 & 4.5 & 1.5 & 1.7 & 13.0 \\
\hline Woman & 0.8 & 1.7 & 1.1 & 4.0 & 2.8 & 5.2 & 15.6 \\
\hline Total & 1.4 & 3.8 & 3.7 & 8.5 & 4.3 & 6.9 & 28.6 \\
\hline
\end{tabular}



Answer :

To find the probability that a randomly selected person in the region is a woman in the 18-24 age range living alone, we can follow these steps:

1. Identify the Total Population:
According to the table, the total population of people living alone in the region is 28.6 million.

2. Identify the Number of Women in the 18-24 Age Range:
From the table, the number of women living alone in the 18-24 age range is 0.8 million.

3. Calculate the Probability:
The probability that a randomly selected person is a woman in the 18-24 age range living alone is the ratio of the number of women in that age range to the total population.

To find the probability, we use the formula:
[tex]\[ \text{Probability} = \frac{\text{Number of Women aged 18-24}}{\text{Total Population}} \][/tex]

Substituting the values from the table:
[tex]\[ \text{Probability} = \frac{0.8 \text{ million}}{28.6 \text{ million}} \][/tex]

4. Simplify the Fraction:
Simplifying the fraction, we get:
[tex]\[ \text{Probability} = 0.027972027972027972 \][/tex]

Therefore, the probability that a randomly selected person in the region is a woman in the 18-24 age range living alone is approximately [tex]\(0.02797\)[/tex] or [tex]\(2.797\%\)[/tex].