Marginal Probability function?Anyone

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Discussion Overview

The discussion revolves around the marginal probability mass functions of two discrete random variables, X and Y, given their joint probability mass function. Participants explore the mathematical steps required to derive the marginals and express concerns about the validity of the original function.

Discussion Character

  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant presents the joint probability mass function p(x, y) and asks for help in finding the marginal probability mass functions of X and Y.
  • Another participant suggests summing p(x, y) over x from 0 to y to find the marginal for Y and over y from x to infinity for the marginal of X.
  • Concerns are raised about how to integrate the factorial terms x! and (y-x)! in the context of the summations.
  • A participant attempts to derive the marginal for Y using binomial expansion but concludes that their result does not yield a total probability of 1, indicating a potential error in the original function.
  • Another participant suggests that the original description may need to be examined due to inconsistencies in the derived probabilities.
  • A later post points out a condition that must be satisfied for the joint probability function to be valid, relating the parameters a, b, and c.

Areas of Agreement / Disagreement

Participants express uncertainty regarding the correctness of the original joint probability mass function and the derived marginals. Multiple competing views on the correct approach and potential errors remain unresolved.

Contextual Notes

Participants note that the calculations involve summations rather than integrations due to the discrete nature of the random variables. There are indications of missing assumptions or conditions that could affect the validity of the results.

Mathemag1c1an
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Marginal Probability function?Anyone

I have this question which I cannot seem to solve:
The joint probability mass function p(x, y) of two discrete random variables X and Y is given by.
p(x,y) = ([5^x][7^y][e^-5])/x!(y-x)!
x and y are non-negative integers and x <= y
(i) Find the marginal probability mass functions of X and Y.
 
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Sum p(x,y) over x from 0 to y to get the marginal for Y. Sum p(x,y) over y from x to oo to get the marginal for X.
 


but how do we integrate the x!(y-x)!
 


Mathemag1c1an said:
but how do we integrate the x!(y-x)!


Remember we are dealing with integers, so we have to carry out summations.

x summation to get marginal for Y: x terms are 5^x/[!(y-x)!] the sum from 0 to y can be gotten from the binomial expansion of (1+5)^y = sum 5^x[yCx], where yCx is the combinatorial symbol =y!/[x!(y-x)!].
Put this together and you have P(Y=y) = (e^-5)(42^y)/y!
This is wrong, since the total probability is not 1. I suggest you examine your original description.

y summation to get marginal for X: sum from x to oo of 7^y/(y-x)!
which is simply (7^x)(e^7).
This leads to P(X=x) = (e^2)(35^x)/x!. This also is wrong.

These could be corrected if e^-5 is replaced by e^-42.
 


I knew something was wrong with the question:
 
Last edited:


Thanks a lot
 


p(x,y) = ([5^x][7^y][e^-5])/x!(y-x)!

If you write it in the form p(x,y) = ([a^x][b^y][e^-c])/x!(y-x)!, you need b(a+1)=c for it to be valid.
 

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