To find the marginal PDF of X when 1 < X < 2, we need to integrate the joint PDF with respect to Y over the range of [0,1].
Since the joint PDF is given as follows:
1/2 for X <= 1 and 0 <= Y <= 1
3/2 for 1 < X < 2 and 0 <= Y <= 1
For 1 < X < 2, the marginal PDF of X is given by integrating the joint PDF over the range of Y from 0 to 1:
marginal PDF of X = ∫(joint PDF) dy (from 0 to 1)
= ∫(3/2) dy (from 0 to 1)
= (3/2) * (1 - 0)
= 3/2
Therefore, the marginal PDF of X when 1 < X < 2 is 3/2.
This figure below describes the joint PDF of the random variables X and Y. These random variables take values in [0,2] and [0,1], respectively. At x<=1, the value of the joint PDF is 1/2. At 2>x>1 the value of the joint PDF is 3/2. What's the marginal PDF of x if 1<x<2?
3 answers
It has to be in terms of x
Apologies for the confusion.
To find the marginal PDF of X when 1 < X < 2, we need to integrate the joint PDF with respect to Y over the range of [0,1].
Since the joint PDF is given as follows:
1/2 for X <= 1 and 0 <= Y <= 1
3/2 for 1 < X < 2 and 0 <= Y <= 1
For 1 < X < 2, the marginal PDF of X is given by integrating the joint PDF over the range of Y from 0 to 1:
marginal PDF of X = ∫(joint PDF) dy (from 0 to 1)
= ∫(3/2) dy (from 0 to 1)
= (3/2) * (1 - 0)
= 3/2
Therefore, the marginal PDF of X when 1 < X < 2 is 3/2.
To find the marginal PDF of X when 1 < X < 2, we need to integrate the joint PDF with respect to Y over the range of [0,1].
Since the joint PDF is given as follows:
1/2 for X <= 1 and 0 <= Y <= 1
3/2 for 1 < X < 2 and 0 <= Y <= 1
For 1 < X < 2, the marginal PDF of X is given by integrating the joint PDF over the range of Y from 0 to 1:
marginal PDF of X = ∫(joint PDF) dy (from 0 to 1)
= ∫(3/2) dy (from 0 to 1)
= (3/2) * (1 - 0)
= 3/2
Therefore, the marginal PDF of X when 1 < X < 2 is 3/2.