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Question
a home pregnancy test was given to women, then pregnancy was verified through blood tests. the following table shows the home pregnancy test results.
| pregnant | not pregnant | total | |
|---|---|---|---|
| negative | 4 | 69 | 73 |
| total | 84 | 76 | 160 |
find the following. round answers to 4 decimal places.
a. p(positive | pregnant) = 0.9524
b. what is the probability that the woman is pregnant given that the test is positive?
c. given that a woman is pregnant, what is the probability that the test is negative?
d. p(not pregnant | negative) = 0.0548
Step1: Recall conditional - probability formula
The formula for conditional probability is $P(A|B)=\frac{P(A\cap B)}{P(B)}$. In terms of the table values, if $A$ and $B$ are events, $P(A|B)$ is the number of elements in $A\cap B$ divided by the number of elements in $B$.
Step2: Solve part b
We want to find $P(\text{Pregnant}|\text{Positive})$. The number of pregnant - and - positive women is $80$, and the number of positive - result women is $87$. So $P(\text{Pregnant}|\text{Positive})=\frac{80}{87}\approx0.9195$.
Step3: Solve part c
We want to find $P(\text{Negative}|\text{Pregnant})$. The number of pregnant - and - negative women is $4$, and the number of pregnant women is $84$. So $P(\text{Negative}|\text{Pregnant})=\frac{4}{84}\approx0.0476$.
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b. $0.9195$
c. $0.0476$