The probability that a person has the antibody given a positive EIA test is 18.8%.
We find the probability by applying Bayes' Theorem. Bayes' theorem allows us to calculate the probability of event A (having antibodies) happening given event B (positive EIA test) already occurred:
P(Antibody | Positive Test) = P(Positive Test | Antibody) * P(Antibody) / P(Positive Test)
P(Positive Test) = P(Positive Test | Antibody) * P(Antibody) + P(Positive Test | No Antibody) * P(No Antibody)
We the Substitute the known values:
P(Positive Test) = (0.95 * 0.01) + (0.05 * 0.99)
= 0.0505
The final probability is found by substituting all the values into the Bayes' theorem equation:
P(Antibody | Positive Test) = (0.95 * 0.01) / 0.0505
= 0.188