Basic probability confusion with independence

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Homework Help Overview

The discussion revolves around basic probability concepts, specifically focusing on the independence of events and conditional probabilities involving events A, B, and C. Participants are examining the implications of given probabilities and relationships between these events.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants are attempting to determine the probability of the intersection of events A and B, questioning the correctness of their calculations and interpretations of conditional probabilities. There is a focus on the definitions of independence and mutual exclusivity as they relate to the events in question.

Discussion Status

The discussion is active, with participants providing feedback on each other's reasoning. Some guidance has been offered regarding the interpretation of conditional probabilities, and there is an ongoing exploration of the correct application of probability formulas.

Contextual Notes

There are indications of confusion regarding the definitions of conditional probability and the relationships between the events, particularly concerning the implications of B being a subset of A and the independence of events.

Jeff_McD18
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Q. Consider the following statements about events A, B, and C.

- p(A) = 2/3
- p(B) = 1/2
- B c A
- Events A and C are independent
- Events B and C are mutually exclusive

Given that B is a subset of A is what is P(A n B). B is completely contained in A so any point in B is also in A which means that (A n B) = B which implies P(A n B) = P(B).

so therefor p(A|B) = 1/3

&

p(B|A)= 1/3

Is this correct?
 
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Welcome to PF!

Hi Jeff! Welcome to PF! :wink:
Jeff_McD18 said:
Given that B is a subset of A is what is P(A n B). B is completely contained in A so any point in B is also in A which means that (A n B) = B which implies P(A n B) = P(B).

Yes. :smile:
so therefor p(A|B) = 1/3

&

p(B|A)= 1/3

No.

p(A|B) is pronounced "the probability of A given B", and means the probability that something in B is also in A.
 


okay, so p(A|B)=p(B)=1/3

How would you go about solving p(B|A)?
 
Jeff_McD18 said:
okay, so p(A|B)=p(B)=1/3

No.

Don't you know a formula for P(A|B) ?
 


P(A|B) = p(A n B)/p(B)
 
Aha! :smile:

ok … so applying it, P(A|B) = … ? :wink:
 

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