In: Statistics and Probability
Consider that you have 4 Accounting officers in an office, Alex, Beatriz, Carla and Diego. Alex takes on 30% of the work, Beatriz 15%, Carla is supervising the team and Diego does the rest of the work.. By your experience, you know that Alex makes 3% of errors, Beatriz 2.5% and Diego 1.5%. If the Supervisor Carla is obligated to fire one of the officers which one would it be and why. Present your statistical arguments based on the conditional probability computation P(B/A) and remember Bayes Theorem P(B/A) = P(AɅB) / P(A)