Q.64 An automobile plant contracted to buy shock absorbers from two suppliers X and Y. X supplies 60% and Y supplies 40% of the shock absorbers. All shock absorbers are subjected to a quality test. The ones that pass the quality test are considered reliable. Of X’s shock absorbers, 96% are reliable. Of Y’s shock absorbers, 72% are reliable. The probability that a randomly chosen shock absorber, which is found to be reliable, is made by Y is (A) 0.288 (B) 0.334 (C) 0.667 (D) 0.720

Q.64 An automobile plant contracted to buy shock absorbers from two suppliers X and Y. X supplies
60% and Y supplies 40% of the shock absorbers. All shock absorbers are subjected to a quality test.
The ones that pass the quality test are considered reliable. Of X’s shock absorbers, 96% are reliable.
Of Y’s shock absorbers, 72% are reliable.
The probability that a randomly chosen shock absorber, which is found to be reliable, is made by Y
is
(A) 0.288 (B) 0.334 (C) 0.667 (D) 0.720

Probability That a Reliable Shock Absorber Is Supplied by Y

An automobile plant purchases shock absorbers from two suppliers, X and Y. All shock absorbers
undergo a quality test, and those that pass are considered reliable. Using conditional probability
and Bayes’ theorem, we determine the probability that a reliable shock absorber is supplied by Y.

Problem Overview

  • Supplier X supplies 60% of shock absorbers
  • Supplier Y supplies 40% of shock absorbers
  • Reliability of X’s shock absorbers: 96%
  • Reliability of Y’s shock absorbers: 72%

Question: If a randomly chosen shock absorber is found to be reliable,
what is the probability that it was made by supplier Y?

Concept Used: Bayes’ Theorem

Bayes’ theorem helps calculate conditional probabilities:

P(Y | R) = [P(R | Y) × P(Y)] / P(R)

Step-by-Step Solution

Step 1: Define Probabilities

  • P(X) = 0.60
  • P(Y) = 0.40
  • P(R | X) = 0.96
  • P(R | Y) = 0.72

Step 2: Calculate Total Probability of Reliability

P(R) = P(R | X) × P(X) + P(R | Y) × P(Y)

P(R) = (0.96 × 0.60) + (0.72 × 0.40)

P(R) = 0.576 + 0.288 = 0.864

Step 3: Apply Bayes’ Theorem

P(Y | R) = (0.72 × 0.40) / 0.864

P(Y | R) = 0.288 / 0.864 = 0.3333 ≈ 0.334

Correct Answer

Option (B) 0.334

Explanation of All Options

(A) 0.288: This represents the joint probability that a shock absorber is
both reliable and supplied by Y, not the required conditional probability.

(B) 0.334: This is the correct conditional probability obtained using Bayes’ theorem.

(C) 0.667: This incorrectly suggests that most reliable shock absorbers come from Y,
which is inconsistent with the given data.

(D) 0.720: This is only the reliability rate of Y’s shock absorbers, not the required probability.

Final Conclusion

Given that a shock absorber is reliable, the probability that it was manufactured by supplier Y is:

0.334

 

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