Select the correct answer.

\begin{tabular}{|l|c|c|}
\hline & Positive Test & Negative Test \\
\hline Subject is pregnant. & 78 & 7 \\
\hline Subject is not pregnant. & 12 & 28 \\
\hline
\end{tabular}

A test subject is randomly selected for a pregnancy test. What is the probability of getting a subject who is not pregnant, given that the test result is positive? Find the probability using the data table.

A. 0.10
B. 0.13
C. 0.19
D. 0.25



Answer :

To determine the probability of selecting a subject who is not pregnant, given that the test result is positive, follow these steps:

1. Identify Given Data from the Table:
- Number of subjects who are pregnant and have a positive test result: 78
- Number of subjects who are pregnant and have a negative test result: 7
- Number of subjects who are not pregnant and have a positive test result: 12
- Number of subjects who are not pregnant and have a negative test result: 28

2. Calculate the Total Number of Positive Test Results:
- Add the number of positive test results for pregnant subjects (78) and the number of positive test results for not pregnant subjects (12).
[tex]\[ \text{Total number of positive test results} = 78 + 12 = 90 \][/tex]

3. Calculate the Probability:
- The probability of a subject being not pregnant given the test result is positive is the ratio of the number of not pregnant subjects with a positive test result to the total number of positive test results.
[tex]\[ \text{Probability} = \frac{\text{Number of not pregnant subjects with positive test}}{\text{Total number of positive test results}} = \frac{12}{90} \][/tex]

4. Simplify the Probability:
- Simplify the fraction.
[tex]\[ \frac{12}{90} = \frac{2}{15} \approx 0.1333 \][/tex]

5. Compare the Result to the Provided Options:
- The result [tex]\(0.1333\)[/tex] closely matches answer choice B, which is 0.13.

Thus, the correct answer is:

B. 0.13