Respuesta :
Answer:
A survey shows that the probability that an employee gets placed in a suitable job is 0.65.
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 [tex]0.65\times0.3=0.195[/tex]
The probability that someone is in the wrong job and the test is right is [tex]0.35\times0.7=0.245[/tex]
Answer:
.105
Step-by-step explanation:
The probability that he is in the right job is 0.65, so the probability he is in the wrong job is 0.35, and similarly, the probability that the test is inaccurate is 0.3. Thus, the probability that someone is in the right job and the test is then wrong is 0.65*0.3=.195, and the probability that someone is in the wrong job and the test is wrong is 0.35*.3=.105.