Basic probability confusion with independence

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SUMMARY

The discussion revolves around the calculation of probabilities involving events A, B, and C, specifically focusing on conditional probabilities and independence. Given that B is a subset of A, it is established that P(A ∩ B) = P(B), leading to the conclusion that P(A|B) = 1/3. However, the calculation for P(B|A) is debated, with participants clarifying the use of the formula P(A|B) = P(A ∩ B) / P(B) to derive the correct probabilities. The final consensus is that P(B|A) requires further calculation based on the established relationships.

PREREQUISITES
  • Understanding of basic probability concepts, including conditional probability
  • Familiarity with the notation of events and their relationships (e.g., subsets, intersections)
  • Knowledge of independence and mutual exclusivity in probability theory
  • Ability to apply probability formulas, such as P(A|B) = P(A ∩ B) / P(B)
NEXT STEPS
  • Study the concept of conditional probability in depth
  • Learn about the implications of independence and mutual exclusivity in probability
  • Explore examples of calculating joint probabilities and their applications
  • Practice solving problems involving subsets and intersections of events
USEFUL FOR

This discussion is beneficial for students of probability theory, educators teaching statistics, and anyone looking to clarify concepts related to conditional probabilities and event relationships.

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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