In: Statistics and Probability
Let X and Y have the joint probability density function (pdf):
f(x, y) = 3/2 x2(1 − y), − 1 < x < 1, − 1 < y < 1
The joint odf of X,Y can be written as
a) The probability
ans: P(0 < Y < X) = 0.225
b) The marginal pdf of X is
ans: The marginal pdf of X is
The marginal pdf of Y is
ans: The marginal pdf of Y is
Variables, X,Y are independent if the joint pdf of X,Y is equal to the product of marginal pdfs
The product of marginal pdfs of X and Y is
This is equal to the join pdf of X,Y
Hence X,Y are independent
ans: X and Y independent as the joint pdf of X,Y is equal to the product of marginal pdf of X and Y
c) The conditional pdf of X given Y=y is
ans: The conditional pdf of X given Y=y is
Note: This is to be expected, as, since X and Y are independent, the The conditional pdf of X given Y=y is equal to the marginal pdf of X
The expected value is
ans: E(X|Y = 0.5) = 0