Let, A be the event that a bolt has been manufactured by machine A
B be the event that a bolt has been manufactured by machine B
C be the event that a bolt has been manufactured by machine C
D be the event that the randomly drawn bolt is defective
Then we have,
P(A) = 25% = 0.25, P(B) = 30% = 0.3, P(C) = 45% = 0.45
and P(D | A) = 7% = 0.07, P(D | B) = 6% = 0.06, P(D | C) = 4% = 0.04
Now, the probability that the defective bolt was manufactured by machine C
= The probability that the bolt was manufactured by machine C given that it was defective
= P(C | D)
Here the events A, B and C are mutually exclusive and exhaustive.
By using Bayes' theorem we have,
P(C | D) = "\\frac{P(C).P(D |C)}{P(A).P(D |A)+P(B).P(D |B)+P(C).P(D |C)}"
= "\\frac{0.04 \\times 0.45}{0.07 \\times 0.25+0.06 \\times 0.3+0.04 \\times 0.45}"
= 0.336 (rounded to 3 decimal places)
Answer: If a bolt drawn at random from the production is found to be defective, the probability that it was manufactured by machine C is 0.336.
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