In: Statistics and Probability
A manufacturer obtains clock-radios from three different subcontractors, 20% from Upper B 1, 30% from Upper B 2, and 50% from Upper B 3. The defective rates for clock-radios from these subcontractors are 1%, 4 %, and 5% respectively. If a defective clock-radio is returned by a customer, what is the probability that a defective clock-radio came from subcontractor Upper B 1?
Let B1 be the event that denotes the clock-radio is obtained from contractor 1.
Let B2 be the event that denotes the clock-radio is obtained from contractor 2.
Let B3 be the event that denotes the clock-radio is obtained from contractor 3.
Let D be the event that denotes the clock-radio is defective.
Given, P(B1) = 0.20 ; P(B2) = 0.30 ; P(B3) = 0.50 ; P(D | B1) = 0.01 ; P(D | B2) = 0.04 ; P(D | B3) = 0.05
The required probability is
P(B1 | D) = (P(D | B1) * P(B1)) / P(D | Bi) * P(Bi) .............(using the Bayes' theorem)
= (P(D | B1) * P(B1)) / ((P(D | B1) * P(B1)) + (P(D | B2) * P(B2)) + (P(D | B3) * P(B3)))
= (0.01 * 0.20) / ((0.01 * 0.20) + (0.04 * 0.30) + (0.05 * 0.50))
= 2 / 39
= 0.0513
Therefore, if a defective clock-radio is returned by a customer, the probability that a defective clock-radio came from subcontractor B 1 is 0.0513