Statistics with Baye's theorem and partitions

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Homework Help Overview

The discussion revolves around problems related to Bayes' theorem and probability distributions, specifically focusing on questions Q1 and Q3 from a statistics assignment. Participants are seeking clarification on how to construct distribution tables and the concept of independence among events.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • The original poster attempts to clarify the distribution table for Q1, questioning the inclusion of certain pairs and the resulting probabilities. For Q3, there is a discussion about the independence of events and the conditions under which they hold.

Discussion Status

Participants are actively engaging with the problems, offering insights and questioning assumptions. There is a recognition of the need for further clarification on how to properly account for probabilities in the distribution table and how to express independence among events.

Contextual Notes

There are indications of confusion regarding the completeness of probability distributions and the implications of including certain outcomes. Participants are also navigating the constraints of the assignment's requirements.

rock.freak667
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Well the questions and solutions are in one for some and I will type out the rest.

Q6
http://img249.imageshack.us/img249/2757/47026197.jpg

Q4
http://img237.imageshack.us/img237/1802/93774799.jpg
Q3
http://img3.imageshack.us/img3/5919/34981698.jpg

Q1
http://img19.imageshack.us/img19/7307/25729239.jpg

I need some help doing Q3 and I need some clarification with Q1.

With Q1, if Y=2, then there are only two possibilities, (1,2) and (1,2). So X can only be equal to 3 thus I am not sure how to write out the distribution table.http://img222.imageshack.us/img222/9981/95680883.jpg
 
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for Q1, there's no reason not to include (2,2) as well (twice)

for Q3, three events would be independent if p(A and B and C) = p(A)p(B)p(C), and the three possible pairs are independent (e.g A and C), just a natural extension from two events
 
Mulder said:
for Q1, there's no reason not to include (2,2) as well (twice)
Right, but wouldn't then my distribution not all add up to one either way? Σall x P(X=x)≠1

Mulder said:
for Q3, three events would be independent if p(A and B and C) = p(A)p(B)p(C), and the three possible pairs are independent (e.g A and C), just a natural extension from two events

This I know, but I don't know what numbers I'd write down for P(A) and so on.
 
rock.freak667 said:
Right, but wouldn't then my distribution not all add up to one either way? Σall x P(X=x)≠1


You should just have Σall x P(X=x | Y=2) =1



This I know, but I don't know what numbers I'd write down for P(A) and so on.


I drew the square with corners at 0, (0,1), (1,1), (1,0) ao P(A) = P(B) =1/2 etc.
 

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