Calculating Conditional Probability with Joint Probability Density Function

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Homework Help Overview

The discussion revolves around calculating conditional probability using a joint probability density function defined as f_{X,Y}(x,y)=2e^{-(x+y)} for the constraints 0 ≤ x ≤ y and y ≥ 0. The specific problem is to find P(Y<1 | X<1).

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants explore the relationship between joint and marginal probabilities, attempting to express P(Y<1 | X<1) in terms of integrals. There are discussions on defining events A and B and calculating their probabilities. Some participants express uncertainty about their understanding of the concepts involved.

Discussion Status

Participants are actively engaging with the problem, with some providing guidance on how to approach the calculations. There is recognition of misunderstandings regarding the marginal probability function, and attempts to clarify the correct formulation are ongoing.

Contextual Notes

There are indications of confusion regarding the integration process and the definitions of the marginal probability functions, particularly the role of y in f_X(x). Participants are encouraged to revisit their assumptions and calculations.

mrkb80
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Homework Statement



let f_{X,Y}(x,y)=2e^{-(x+y)} for 0 \le x \le y and y \ge 0 \\<br /> <br />find P(Y&lt;1 | X &lt; 1)<br />

Homework Equations


<br /> f(X=x | y=y) = \dfrac{f_{X,Y}(x,y)}{f_y(y)}<br />

The Attempt at a Solution


P(Y&lt;1 | X&lt;1) = \int_0^1 \dfrac{f_{X,Y}(x,y)}{\int_0^1 f_X(x) dx} dy

before I integrate, I want to make sure I understand the concept, which I don't think I do.
 
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mrkb80 said:

Homework Statement



let f_{X,Y}(x,y)=2e^{-(x+y)} for 0 \le x \le y and y \ge 0 \\<br /> <br />find P(Y&lt;1 | X &lt; 1)<br />

Homework Equations


<br /> f(X=x | y=y) = \dfrac{f_{X,Y}(x,y)}{f_y(y)}<br />

The Attempt at a Solution


P(Y&lt;1 | X&lt;1) = \int_0^1 \dfrac{f_{X,Y}(x,y)}{\int_0^1 f_X(x) dx} dy

before I integrate, I want to make sure I understand the concept, which I don't think I do.

Use the formula
P(A|B) = \frac{P(A\, \&amp; \, B)}{P(B)}.
with appropriately-defined A and B.

RGV
 
I'm thinking that would be something like this:

P(A) = P(Y<1)
P(B) = P(X<1)=\int_0^1 f_X(x) dx
so then P(A \cap B) =P(Y&lt;1 \cap X&lt;1) = \int_0^1 \int_0^y f_{X,Y}(x,y) dxdy

and then \dfrac{\int_0^1 \int_0^y f_{X,Y}(x,y) dxdy}{\int_0^1 f_X(x) dx}

or am I still not understanding?
 
mrkb80 said:
I'm thinking that would be something like this:

P(A) = P(Y<1)
P(B) = P(X<1)=\int_0^1 f_X(x) dx
so then P(A \cap B) =P(Y&lt;1 \cap X&lt;1) = \int_0^1 \int_0^y f_{X,Y}(x,y) dxdy

and then \dfrac{\int_0^1 \int_0^y f_{X,Y}(x,y) dxdy}{\int_0^1 f_X(x) dx}

or am I still not understanding?

This is OK. Now all you need do is find fX, and do the integrations in the numerator and the denominator.

RGV
 
Great. Thanks for the help again.
 
I thought I understood it, but something is not correct. just working on the denominator, I get f_X(x)=-2(e^{-(x+y)}-e^{-x}) and then if I try to integrate that I get \int_0^1 f_X(x) dx = 2e^{-y-1}+2e^{-y}+e^{-1}+1 What am I missing here?
 
mrkb80 said:
I thought I understood it, but something is not correct. just working on the denominator, I get f_X(x)=-2(e^{-(x+y)}-e^{-x}) and then if I try to integrate that I get \int_0^1 f_X(x) dx = 2e^{-y-1}+2e^{-y}+e^{-1}+1 What am I missing here?

You are missing the fact that f_X(x) cannot have y in it. You need to start again.

RGV
 
You're right. I see my mistake: f_X(x)=2e^{-x} makes much more sense.
 

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