Consider a permutation sampled uniformly at random from the set of all permutations of \( \{1, 2, 3, \dots, n\} \) for some \( n \geq 4 \). Let \( X \) be the event that 1 occurs before 2 in the permutation, and \( Y \) the event that 3 occurs before 4. Which one of the following statements is TRUE?
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Independence of events means the outcome of one event does not influence the probability of the other.
The events \( X \) and \( Y \) are mutually exclusive.
The events \( X \) and \( Y \) are independent.
Either event \( X \) or \( Y \) must occur.
Event \( X \) is more likely than event \( Y \).
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The Correct Option isB
Solution and Explanation
Step 1: Define the events \( X \) and \( Y \).
Event \( X \): 1 occurs before 2 in the permutation.
Event \( Y \): 3 occurs before 4 in the permutation.
Step 2: Determine probabilities.
For any two distinct elements in a permutation, the probability of one occurring before the other is:
\[
P(X) = P(Y) = \frac{1}{2}.
\]
Step 3: Check independence.
Events \( X \) and \( Y \) are independent if:
\[
P(X \cap Y) = P(X) \cdot P(Y).
\]
Since the order of 1 and 2 is independent of the order of 3 and 4, we have:
\[
P(X \cap Y) = \frac{1}{4}, \quad P(X) \cdot P(Y) = \frac{1}{2} \cdot \frac{1}{2} = \frac{1}{4}.
\]
Step 4: Conclusion.
Events \( X \) and \( Y \) are independent as the probabilities match.
Final Answer:
\[
\boxed{\text{The events } X \text{ and } Y \text{ are independent.}}
\]