Answer:
3.74% probability that her baby has T18
Explanation:
Bayes Theorem:
Two events, A and B.
![P(B|A) = (P(B)*P(A|B))/(P(A))](https://img.qammunity.org/2021/formulas/mathematics/college/dpl2om35c6759cj1w3kaim008n3d4pjd3q.png)
In which P(B|A) is the probability of B happening when A has happened and P(A|B) is the probability of A happening when B has happened.
In this question:
Event A: Positive test.
Event B: The baby having T18.
T18 occurs in only 1 in 2500 pregnancies in the U.S.
This means that
![P(B) = (1)/(2500) = 0.0004](https://img.qammunity.org/2021/formulas/mathematics/college/h9n4yinluuxe6vtnbpuaisv0syq59nbv3e.png)
The probability of a positive test result for a baby with T18 is 0.97.
This means that
![P(A|B) = 0.97](https://img.qammunity.org/2021/formulas/mathematics/college/lhs75id3qqw0xyvqvumk1td8pkdxlbsedz.png)
The overall probability of a positive test result is 0.010384.
This means that
![P(A) = 0.010384](https://img.qammunity.org/2021/formulas/mathematics/college/ds6y6bz0mzp25ndrix9q5hlix27jzhuxyg.png)
What is the probability that her baby has T18
![P(B|A) = (0.0004*0.97)/(0.010384) = 0.0374](https://img.qammunity.org/2021/formulas/mathematics/college/uo664u770akr6uidilz7g3j7nhsf74fjgf.png)
3.74% probability that her baby has T18