
Explanation:
The correct answer is D because:
Conditional Probability Requirements: For a valid probability distribution, all probabilities must sum to 1. In option D:
Checking other options:
Conceptual Understanding: The conditional distribution P(X₁|X₂ = 100) represents the probability distribution of Company A's profits given that Company B made exactly 100 million in profit. This must satisfy the properties of a probability distribution:
Additional Validation: Option D shows a more realistic distribution where probabilities are properly scaled and sum exactly to 1, indicating it's likely the correct conditional distribution calculated from the joint probability distribution of both companies' profits.
Key Takeaway: When evaluating conditional distributions, always verify that the probabilities sum to 1, as this is a fundamental requirement for any valid probability distribution.
Ultimate access to all questions.
No comments yet.
What is the conditional distribution of company A given that company B made a profit of 100 Million?
A
| Company A(X₁) Profits | -1 Million | 0 Million | 2 Million | 4 Million |
|---|---|---|---|---|
| P(X₁ | X₂ = 100) | 0.0697 | 0.4274 | 0.3436 |
B
| Company A(X₁) Profits | -1 Million | 0 Million | 2 Million | 4 Million |
|---|---|---|---|---|
| P(X₁ | X₂ = 100) | 0.0697 | 0.5274 | 0.6436 |
C
| Company A(X₁) Profits | -1 Million | 0 Million | 2 Million | 4 Million |
|---|---|---|---|---|
| P(X₁ | X₂ = 100) | 0.0697 | 0.5274 | 0.3436 |
D
| Company A(X₁) Profits | -1 Million | 0 Million | 2 Million | 4 Million |
|---|---|---|---|---|
| P(X₁ | X₂ = 100) | 0 | 0.1952 | 0.4144 |