Question abount independence events and conditional events

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Discussion Overview

The discussion revolves around the concepts of independence in probability, specifically focusing on implications of independent events and conditional probabilities. Participants explore theoretical implications and provide examples related to these concepts.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant requests a proof of the implications of independence, specifically that if A is independent of B, then not A is independent of not B.
  • Another implication is proposed: if the conditional probabilities of A and B given C and not C are both greater for A than for B, then it suggests that the unconditional probability of A is greater than that of B.
  • A mathematical derivation is presented that attempts to show the relationship between independent events and their complements, leading to the conclusion that not A is independent of not B.
  • A separate question is posed regarding the probability that C lied, given a scenario involving statements made by A and B, with a focus on the truth-telling probability p.
  • A formula is provided that appears to relate to the probability of C lying based on the statements made by A and B.

Areas of Agreement / Disagreement

Participants have raised multiple viewpoints and mathematical approaches, but there is no clear consensus on the implications or the correctness of the proposed proofs and calculations. The discussion remains unresolved with competing interpretations of the implications of independence.

Contextual Notes

Some assumptions regarding the definitions of independence and the conditions under which the probabilities are evaluated may not be fully articulated. The mathematical steps presented may depend on specific interpretations that are not universally agreed upon.

Who May Find This Useful

Readers interested in probability theory, particularly those exploring concepts of independence and conditional probabilities, may find this discussion relevant.

Alexsandro
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Prove this questions using ration ideal in intuitive way.

Prove this implications and explain the results:

(a) A _|_ B => not A _|_ not B, onde _|_ means that events A and B are independent.

(b)[ P(A|C) >= P(B|C) ] and [ P(A|not C) >= P(B|not C) ] ==> P(A) > P(B)
 
Last edited:
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Question about who tells the truth.

Interesting question:

" A says that B told him that C lied ".

If each of these person tells the truth with probability p, what is the probability that C lied ?
 
[tex]A \perp B \longrightarrow P(A|B) = P(A) \longrightarrow \frac{P(A \& B)}{P(B)} = P(A) \longrightarrow[/tex]

[tex]\frac{P(A) - P(A \& \~B)}{1 - P(\~B)} = P(A) \longrightarrow <br /> \frac{[1 - P(\~A)] - [P(\~B) - P(\~A \& \~B)]}{1 - P(\~B)} = 1 - P(\~A) \longrightarrow[/tex]

[tex]1 - P(\~A) - P(\~B) + P(\~A \& \~B) = 1 - P(\~A) - P(\~B) + P(\~A)P(\~B) \longrightarrow \frac{P(\~A \& \~B)}{P(\~B)} = P(\~A) \longrightarrow \~A \perp \~B[/tex]
 
{p^2+(1-p)^2}/{3p^2+(1-p)^2}
 
The above is the answer to the question
"Given " A says that B told him that C lied ".,what is the pr that c lied"
 

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