Probability: pair of random variables

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SUMMARY

The discussion centers on the calculation of conditional probabilities involving a pair of random variables, specifically using the formula f(x | y) = f(x, y) / f(y). Participants emphasize the necessity of using double integrals for the denominator and breaking the numerator into two separate integrals to accurately represent the regions of integration. The correct approach involves integrating over the rectangle [0,1] × [0,0.5] and using the notation Pr(X+Y≤1 ∧ Y≤0.5) for clarity. The final answer for part (d) is confirmed to be 0.5875, with the integrals provided for clarity.

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ashah99
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Homework Statement
Problem shown below. Various topics related to the joint pdf and RVs
Relevant Equations
Equations used are shown in working attempt below.
Hello all, I would like to check my understanding and get some assistance with last part of the following question, please.
For part (d), would I use f(x | y) = f(x, y) / f(y) ?

Problem statement:
1662330843900.png


My attempt at a solution, not too confident in my set-up for part (d). I drew a sketch of the region of integration.

1662330860401.png

1662330930606.png
 
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Your approach is broadly correct, with a few glitches in implementation.

The denominator in the last line must be a double integral, otherwise you can't get a value for it. You need to integrate over the rectangle ##[0,1]\times [0,0.5]##.
You need to break the numerator into two separate integrals: one covering the square on the left and one covering the triangle on the right.

One does not write, as in your central expression on the last line:
$$\frac{f_{XY}(X+Y\leq 1, Y\leq 0.5)}
{f_Y(Y\leq 0.5)}$$
You should write something like
$$\frac{Pr(X+Y\leq 1\wedge Y\leq 0.5)}
{Pr(Y\leq 0.5)}$$
where the ##Pr## indicates 'probability of' and ##\wedge## means 'and'.
 
andrewkirk said:
Your approach is broadly correct, with a few glitches in implementation.

The denominator in the last line must be a double integral, otherwise you can't get a value for it. You need to integrate over the rectangle ##[0,1]\times [0,0.5]##.
You need to break the numerator into two separate integrals: one covering the square on the left and one covering the triangle on the right.

One does not write, as in your central expression on the last line:
$$\frac{f_{XY}(X+Y\leq 1, Y\leq 0.5)}
{f_Y(Y\leq 0.5)}$$
You should write something like
$$\frac{Pr(X+Y\leq 1\wedge Y\leq 0.5)}
{Pr(Y\leq 0.5)}$$
where the ##Pr## indicates 'probability of' and ##\wedge## means 'and'.

Thank you for the pointers. I very well could still be off on the integral bounds, but if I understood your reply correctly, I get an answer of 0.5875.

1662386991772.png
 
That's right. Note that you could have written the numerator as
$$\int_0^{1/2}\int_0^{1-y} f(x,y)\,dx\,dy.$$ Your original attempt just had the limits wrong. What @andrewkirk probably had in mind was
$$\int_0^{1/2}\int_0^{1/2} f(x,y)\,dy\,dx + \int_{1/2}^1 \int_0^{1-x} f(x,y)\,dy\,dx$$ The first integral is the square, and the second integral is the triangular region.
 
vela said:
That's right. Note that you could have written the numerator as
$$\int_0^{1/2}\int_0^{1-y} f(x,y)\,dx\,dy.$$ Your original attempt just had the limits wrong. What @andrewkirk probably had in mind was
$$\int_0^{1/2}\int_0^{1/2} f(x,y)\,dy\,dx + \int_{1/2}^1 \int_0^{1-x} f(x,y)\,dy\,dx$$ The first integral is the square, and the second integral is the triangular region.

Thank you for your explanation and the integral bounds that you proposed are more intuitive. Do you agree with the final answer for (d)? Also, are my answers for parts (a) - (c) correct? I realize that I have to split the constant c=24 between FX(x) and fY(y) such that both would integrate to 1, i.e. fX (x) = 12x^2(1-x) and fY(y) = 2y.
 
I got the same answer for (d). The rest looks good as well.
 

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