In a factory, machines A, B, and C produce 30%, 45%, and 25% of total output, with defect rates of 2%, 3%, and 4% respectively. If a randomly selected item is defective, the probability it was produced by machine B is approximately: MCQ with Answer and Explanation

In a factory, machines A, B, and C produce 30%, 45%, and 25% of total output, with defect rates of 2%, 3%, and 4% respectively. If a randomly selected item is defective, the probability it was produced by machine B is approximately:
A. 0.30
B. 0.50
C. 0.43
D. 0.45
Answer: Option C
Solution (By JKSSB Mock Tests)
Using Bayes' theorem: P(B|Defective) = [P(Defective|B) × P(B)] / [Σ P(Defective|machine) × P(machine)] = (0.03×0.45) / (0.02×0.30 + 0.03×0.45 + 0.04×0.25) = 0.0135 / 0.0315 ≈ 0.4286 ≈ 0.43.

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Practice More Statistics Questions

Question #1
A bag contains 3 red and 2 blue balls. Two balls are drawn at random without replacement. The probability that both are red is:
A. 3/5
B. 9/25
C. 1/2
D. 3/10

Correct Answer: Option D


Explanation:
P(both red) = (3/5) × (2/4) = 6/20 = 3/10. Without replacement, the probability changes after the first draw, requiring multiplication of conditional probabilities.

This question belongs to: Accountancy and Statistics Statistics
Question #2
Paasche price index is calculated as:
A. Σ(p₁q₀)/Σ(p₀q₀) × 100
B. Σ(p₁q₁)/Σ(p₀q₀) × 100
C. √[Σ(p₁q₀)/Σ(p₀q₀) × Σ(p₁q₁)/Σ(p₀q₁)] × 100
D. Σ(p₁q₁)/Σ(p₀q₁) × 100

Correct Answer: Option D


Explanation:
Paasche index = Σ(p₁q₁)/Σ(p₀q₁) × 100, using current period quantities (q₁) as weights, which may understate inflation due to substitution effects but reflects current consumption patterns.

This question belongs to: Accountancy and Statistics Statistics
Question #3
In a certain test, 5% of patients have a disease. The test is positive for 90% of diseased and 10% of healthy. If a patient tests positive, the probability they have the disease is about:
A. 0.32
B. 0.50
C. 0.90
D. 0.10

Correct Answer: Option A


Explanation:
P(D)=0.05, P(+|D)=0.9, P(+|D')=0.1. P(D|+) = (0.05×0.9) / (0.05×0.9 + 0.95×0.1) = 0.045/(0.045+0.095)=0.045/0.14≈0.321.

This question belongs to: Accountancy and Statistics Statistics