Probability of Independent Sets: A,B in Sample Space Z

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Homework Help Overview

The discussion revolves around the concept of independence in probability, specifically concerning sets within a sample space Z = {a, b, c} and their associated probabilities. Participants are exploring how to determine the conditions under which the sets {a, b} and {a, c} are independent.

Discussion Character

  • Conceptual clarification, Assumption checking, Problem interpretation

Approaches and Questions Raised

  • Participants are attempting to understand the definition of independence in the context of probability and how it applies to sets rather than individual outcomes. There is a focus on the relationship between the probabilities of the sets and the conditions required for independence.

Discussion Status

The conversation is ongoing, with participants questioning the phrasing of the original problem and the implications of independence between the sets. Some have suggested that the sets cannot be independent due to shared elements, while others are exploring the mathematical relationships involved.

Contextual Notes

There is uncertainty regarding the definitions and interpretations of independence, particularly in relation to atomic events and the nature of the sample space. Participants are also considering the implications of the given probability distribution and the constraints it imposes on the problem.

ParisSpart
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In a sample space Z = {a, b, c} is the probability distribution of the numbers x, y, 0.3 (in that order). What should be they that any {a, b} and {a, c} are independent?

maybe i need a suggestion if the type i want to use down is correcty or not because i stucked...



I know that for A1,A2,An we have this type : P(A1andA2and...andAn)=P(A1)P(A2)...P(An) but how i can use this if i have sets?
 
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You need a to be independent of b and c, but b and c need not be independent of each other?

What is the definition of "independent" in this context? (Hint: in terms of probabilities.)
You have:
P(A1andA2and...andAn)=P(A1)P(A2)...P(An) but how i can use this if i have sets?
... you don't have to apply the relation to whole sets, the A1,A2,... form a set {A1, A2, ...}.

if A and B are independent, then P(A)+P(B)=?
 
If I'm interpreting this correctly, you need to find x and y such that P[f∈{a,b}|f∈{a,c}] = P[f∈{a,b}]. Is that it?
 
Well if you are interpreting it correctly - then how would the relation P[f∈{a,b}|f∈{a,c}] = P[f∈{a,b}] possibly hold? After all, the two sets have a member in common.

It boils down to how you read this bit:
What should be they that any {a, b} and {a, c} are independent?
... which is "they" and what is "independent" of what?

Presumably "they" is x and y.
"{a,b} is independent", then I'd read that as outcome a is independent of outcome b... I don't think that {a,b} can be independent of {a,c} since they both contain a.

I read the question as saying that {a,b,c} may or may not not be independent, but {a,b} and {a,c} are.
Given that P(c)=0.3, what is P(a) and P(b)?

However: you are closer to the course than I am so you may have an extra insight.
 
Simon Bridge said:
Well if you are interpreting it correctly - then how would the relation P[f∈{a,b}|f∈{a,c}] = P[f∈{a,b}] possibly hold? After all, the two sets have a member in common.
There is exactly one setting of x and y that makes it true.
"{a,b} is independent", then I'd read that as outcome a is independent of outcome b.
Aren't a, b and c atomic events? If so, they are therefore mutually exclusive, not independent. In probability space terms, a set of possible outcomes, like {a, b} constitutes a (nonatomic) event, and you want the events {a, b}, {a, c} to be independent.
 
Because Z is a sample space? That would make sense OK.
I still think the phrasing is sloppy... which is why I'm uncertain about how I was reading the question.
 

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