Why P(A|B') not P(A)-P(A n B)?
- Context: Undergrad
- Thread starter CAH
- Start date
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Discussion Overview
The discussion revolves around the interpretation of conditional probability, specifically why P(A|B') is not equivalent to P(A) - P(A ∩ B). Participants explore the implications of conditioning on the event B' and the differences in probability spaces involved.
Discussion Character
- Technical explanation
- Conceptual clarification
- Debate/contested
Main Points Raised
- One participant states the equation P(A|B') = P(A ∩ B) / P(B') but questions why it isn't simply P(A) - P(A ∩ B).
- Another participant clarifies that P(A) can be expressed as P(A ∩ B) + P(A ∩ B'), indicating that the proposed version only holds if P(B') = 1.
- A different participant emphasizes that P(A | B') should not include B in the sample space since B has not occurred, thus challenging the initial reasoning.
- Further, a participant elaborates on the distinction between the probability spaces for P(A|B') and P(A ∩ B'), noting that they refer to different sets and that the reasoning based on a Venn diagram does not account for this difference.
Areas of Agreement / Disagreement
Participants express differing views on the relationship between P(A|B') and P(A) - P(A ∩ B), with no consensus reached on the correct interpretation or equivalence of these expressions.
Contextual Notes
Participants highlight the importance of understanding the underlying probability spaces when discussing conditional probabilities, indicating that assumptions about these spaces may affect the validity of the proposed equations.
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