Respuesta :
Answer: A
Explanation: Case study Bayes theorem. Case histories indicate that various diseases produce similar systems. Assume that a particular set of symptoms, which will be denoted as event M, occurs only when any of three diseases, A, B or C, occurs (For simplicity, we will assume that diseases A, B and C are mutually exclusive). Studies show these probabilities of acquiring the three diseases: P (A) = 0.02 P (B) = 0.03 P (C) = 0.4 The probabilities of developing M symptoms, given a specific disease, are: P (M | A) = 0.80 P (M | B) = 0.97 P (M | C) = 0.60 Assuming that a sick person has symptoms M. What is the probability that the person has disease A?
Assuming that a sick person has symptoms M, the probability that the person has disease A is; 0.8
How to apply Baye's theorem?
We are given;
Probability of Disease A; P(A) = 0.02
Probability of Disease B: P (B) = 0.03
Probability of Disease C: P (C) = 0.4.
The probabilities of developing M symptoms, given a specific disease, are:
P(M | A) = 0.80
P (M | B) = 0.97
P (M | C) = 0.60
According to Baye's theoem, assuming that a sick person has symptoms M, the probability that the person has disease A is;
P(M | A) = [P(A | M) * P(M)]/P(A)
Thus; P(M|A) = 0.8
Complete Interpretation of question is;
Assume that a particular set of symptoms, which will be denoted as event M, occurs only when any of three diseases, A, B or C, occurs (For simplicity, we will assume that diseases A, B and C are mutually exclusive). Studies show these probabilities of acquiring the three diseases: P (A) = 0.02 P (B) = 0.03 P (C) = 0.4. The probabilities of developing M symptoms, given a specific disease, are: P (M | A) = 0.80, P (M | B) = 0.97, P (M | C) = 0.60.
Assuming that a sick person has symptoms M. What is the probability that the person has disease A?
Read more about Baye's Theorem at; https://brainly.com/question/14989160
#SPJ2
