Answer:
A survey shows that the probability that an employee gets placed in a suitable job is 0.65.
A. P(A) = 0.35, P(B) = 0.65, P(C) = 0.70, P(D) = 0.30, P(E) = 0.30, P(F) = 0.70
Step-by-step explanation:
So, the probability he is in the wrong job is 0.35.
The test has an accuracy rate of 70%.
So, the probability that the test is inaccurate is 0.3.
Thus, the probability that someone is in the right job and the test predicts it wrong is 0.65*0.3=0.195
The probability that someone is in the wrong job and the test is right is 0.35*0.7= 0.245