The conditional probability that the person has the disease given that the test result is positive is of 0.4750 = 47.50%.
<h3>What is Conditional Probability?</h3>
Conditional probability is the probability of one event happening, considering a previous event. The formula is:
In which:
- P(B|A) is the probability of event B happening, given that A happened.
- is the probability of both A and B happening.
- P(A) is the probability of A happening.
In this problem, the events are:
- Event B: Has the disease.
The percentages associated with a positive test is:
- 93.9% of 3.8%(has the disease).
- 4.1% of 100 - 3.8 = 96.2%(does not have the disease).
Hence:
The probability of both a positive test and having the disease is given by:
Hence the conditional probability is given by:
More can be learned about conditional probability at brainly.com/question/14398287
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<span>237.1
</span><span>237.075 This is the actual answer</span>
Answer:
x^2+4x+4
Step-by-step explanation:
Answer:
4 cm
Step-by-step explanation: