
Financial Risk Manager Part 1
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What is the probability of a positive test?
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TTanishq
Explanation:
Explanation
To calculate the probability of a positive test, we use the law of total probability:
Let's define the events:
- + = positive diagnosis
- - = negative diagnosis
- H = heart disease
- H' = no heart disease
Given probabilities:
- P(+|H) = 0.95 (probability of positive test given heart disease)
- P(-|H') = 0.99 (probability of negative test given no heart disease)
- P(H) = 0.25 (probability of heart disease)
- P(H') = 0.75 (probability of no heart disease)
First, we need P(+|H') = 1 - P(-|H') = 1 - 0.99 = 0.01
Using the law of total probability:
P(+) = P(+|H) × P(H) + P(+|H') × P(H')
P(+) = (0.95 × 0.25) + (0.01 × 0.75)
P(+) = 0.2375 + 0.0075 = 0.245
Therefore, the probability of a positive test is 0.245, which corresponds to option C.
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