Step-by-Step Solution
Topic: Total Probability & Bayes’ Theorem
Probability Tree Diagram
Branch 1: Person A (0.5) → Plant (0.7).
Branch 2: Person B (0.6) → Plant (0.4).
1. Define Events & Probabilities
- • Let E1: First person is appointed. P(E1) = 0.5
- • Let E2: Second person is appointed. P(E2) = 0.6
- • Let A: Waste treatment plant is introduced.
Conditional Probabilities:
- • P(A|E1) = 0.7 (Plant introduced by Person 1)
- • P(A|E2) = 0.4 (Plant introduced by Person 2)
(I) TOTAL PROBABILITY OF PLANT INTRODUCTION
Using the Law of Total Probability:
P(A) = P(E1)P(A|E1) + P(E2)P(A|E2)
Substitute the values:
P(A) = (0.5 × 0.7) + (0.6 × 0.4)
P(A) = 0.35 + 0.24
Total Probability P(A) = 0.59
(II) PROBABILITY OF PERSON 1 (Given Plant Introduced)
We need to find P(E1|A) using Bayes’ Theorem:
P(E1|A) = [ P(E1) × P(A|E1) ] / P(A)
Substitute the values calculated in Part (I):
Numerator = P(E1)P(A|E1) = 0.5 × 0.7 = 0.35
Denominator = P(A) = 0.59
Therefore:
P(E1|A) = 0.35 / 0.59
Final Probability = 35/59 (≈ 0.593)