1. Section B ( 40 marks) a. A factory employs three machine operators to produce its brand of electric bulbs. Operator A works \( 50 \% \) of the time, operator B works \( 30 \% \) of the time and operator C works \( 20 \% \) of the time. Each operator is prone to produce defective bulbs. Operator A produces defective bulbs \( 1 \% \) of the time, operator B produces defective bulbs \( 5 \% \) of the time and C produces defective bulbs \( 7 \% \) of the time. If a defective bulb is produced, what is the probability that it was produce by i. Operator A ii. Operator B iii. Operator C b. A bag contains 3 red balls and 7 black balls. What is the probability that the first ball drawn is red and the second ball is green, given that the draws are made i. with replacement ii. without replacement
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To solve the problem of determining the probability of a defective bulb being produced by each operator, we can use Bayes' theorem. For part (a): i. To find the probability that a defective bulb was produced by Operator A, we calculate the overall probability of producing a defective bulb \(P(D)\) and apply Bayes' theorem. \[ P(D) = P(D|A) \cdot P(A) + P(D|B) \cdot P(B) + P(D|C) \cdot P(C) \] Where: - \(P(D|A) = 0.01\) (1% defect rate for A) - \(P(D|B) = 0.05\) (5% defect rate for B) - \(P(D|C) = 0.07\) (7% defect rate for C) - \(P(A) = 0.5\), \(P(B) = 0.3\), and \(P(C) = 0.2\) Now substituting these values: \[ P(D) = 0.01 \cdot 0.5 + 0.05 \cdot 0.3 + 0.07 \cdot 0.2 = 0.005 + 0.015 + 0.014 = 0.034 \] Now, using Bayes' theorem to find \(P(A|D)\): \[ P(A|D) = \frac{P(D|A) \cdot P(A)}{P(D)} = \frac{0.01 \cdot 0.5}{0.034} \approx 0.147 \] ii. For Operator B: \[ P(B|D) = \frac{P(D|B) \cdot P(B)}{P(D)} = \frac{0.05 \cdot 0.3}{0.034} \approx 0.441 \] iii. For Operator C: \[ P(C|D) = \frac{P(D|C) \cdot P(C)}{P(D)} = \frac{0.07 \cdot 0.2}{0.034} \approx 0.206 \] Now for part (b): If a bag contains 3 red balls and 7 black balls, making it a total of 10 balls: i. With replacement, the probability of drawing a red ball first (R) and then a green ball (G makes no sense here since there are no green balls, hence the probability is \(0\). ii. Without replacement, if you draw a red ball first, you’re left with 9 balls (2 red, and 7 black), so again, the probability of drawing a green ball is \(0\). In both scenarios, since there are no green balls in the bag, the probability remains at \(0\).