Let A and B be events such that 0

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**Problem Statement:**

Let \( A \) and \( B \) be events such that \( 0 < P(A) < 1 \) and \( 0 < P(B) < 1 \).

a. Show that if \( A \) and \( B \) are independent, then \( P(A \cap B) \neq 0 \).

b. Show that if \( P(A \cap B) = 0 \), then \( A \) and \( B \) are not independent.

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For educational purposes, the image contains mathematical notation related to probability theory. The problem addresses concepts of independent events and their implications in probability intersections.

- Independence of events \( A \) and \( B \) implies that the occurrence of \( A \) does not affect the probability of \( B \), and vice versa. This mathematical condition can be expressed as \( P(A \cap B) = P(A) \times P(B) \).
- The intersection of two events, denoted \( A \cap B \), represents scenarios where both events occur simultaneously.
- The tasks involve using these concepts to demonstrate or verify the given conditions regarding independence and probabilities.
Transcribed Image Text:**Problem Statement:** Let \( A \) and \( B \) be events such that \( 0 < P(A) < 1 \) and \( 0 < P(B) < 1 \). a. Show that if \( A \) and \( B \) are independent, then \( P(A \cap B) \neq 0 \). b. Show that if \( P(A \cap B) = 0 \), then \( A \) and \( B \) are not independent. --- For educational purposes, the image contains mathematical notation related to probability theory. The problem addresses concepts of independent events and their implications in probability intersections. - Independence of events \( A \) and \( B \) implies that the occurrence of \( A \) does not affect the probability of \( B \), and vice versa. This mathematical condition can be expressed as \( P(A \cap B) = P(A) \times P(B) \). - The intersection of two events, denoted \( A \cap B \), represents scenarios where both events occur simultaneously. - The tasks involve using these concepts to demonstrate or verify the given conditions regarding independence and probabilities.
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