A survey asked students whether they have any siblings and pets. The survey data are shown in the relative frequency table below:

\begin{tabular}{|c|c|c|c|}
\hline & Siblings & No siblings & Total \\
\hline Pets & 0.3 & 0.15 & 0.45 \\
\hline No pets & 0.45 & 0.1 & 0.55 \\
\hline Total & 0.75 & 0.25 & 1.0 \\
\hline
\end{tabular}

Given that a student has a sibling, what is the likelihood that he or she also has a pet?

A. [tex]$75\%$[/tex]

B. [tex]$40\%$[/tex]

C. [tex]$30\%$[/tex]

D. About [tex]$67\%$[/tex]



Answer :

To determine the likelihood that a student with siblings also has a pet, we are essentially looking for the conditional probability [tex]\( P(\text{Pet} \mid \text{Siblings}) \)[/tex].

Given:
- [tex]\( P(\text{Siblings}) = 0.75 \)[/tex] (The proportion of students with siblings)
- [tex]\( P(\text{Pet} \cap \text{Siblings}) = 0.30 \)[/tex] (The proportion of students who have both siblings and pets)

The conditional probability [tex]\( P(\text{Pet} \mid \text{Siblings}) \)[/tex] is calculated as:
[tex]\[ P(\text{Pet} \mid \text{Siblings}) = \frac{P(\text{Pet} \cap \text{Siblings})}{P(\text{Siblings})} \][/tex]

Plugging in the given values:
[tex]\[ P(\text{Pet} \mid \text{Siblings}) = \frac{0.30}{0.75} \][/tex]

Now, performing the division:
[tex]\[ P(\text{Pet} \mid \text{Siblings}) = 0.4 \][/tex]

Thus, the likelihood that a student with siblings also has a pet is 40%, which corresponds to option B.

So, the correct answer is:
B. [tex]\( 40 \% \)[/tex]