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The director of health services is concerned about a possible flu outbreak at her college. She surveyed 100 randomly selected residents from the college's dormitories to see whether they had received a preventative flu shot. The results are shown below.

What is the probability that a dormitory resident chosen at random from this group has had a flu shot, given that he is male?

Residents At College Dormitories

[tex]
\[
\begin{tabular}{|c|c|c|c|}
\hline
& Male & Female & Total \\
\hline
Had Flu Shot & 39 & 41 & 80 \\
\hline
\begin{tabular}{c}
Didn't Have \\
Flu Shot
\end{tabular}
& 12 & 8 & 20 \\
\hline
Total & 51 & 49 & 100 \\
\hline
\end{tabular}
\]
[/tex]

Options:

A. [tex]\frac{51}{100}[/tex]
B. [tex]\frac{13}{17}[/tex]
C. [tex]\frac{39}{100}[/tex]
D. [tex]\frac{39}{80}[/tex]

Answer :

To find the probability that a randomly chosen male resident from the surveyed group has had a flu shot, given that he is male, we'll follow these steps:

1. Identify the total number of male residents.
- According to the table, the total number of male residents is 51.

2. Identify the number of males who had a flu shot.
- The table shows that 39 male residents received a flu shot.

3. Calculate the probability.
- The probability is calculated by dividing the number of males who had the flu shot by the total number of male residents. So, the probability is:

[tex]\[
\text{Probability} = \frac{\text{Number of males who had a flu shot}}{\text{Total number of male residents}} = \frac{39}{51}
\][/tex]

4. Simplify the fraction.
- The fraction [tex]\(\frac{39}{51}\)[/tex] can be simplified to the decimal value approximately equal to 0.7647.

Thus, the probability that a dormitory resident chosen at random, who is male, has had a flu shot is approximately 0.7647.

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