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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 0.65 x 0.3 = 0.195
The probability that someone is in the wrong job and the test is right is
0.35 x 0.7 = 0.245