In: Statistics and Probability
1. Let X1 and X2 be continuous distributions uniformly distributed across the region [0, 2] × [0, 2] U (2, 4] × (2, 4].
a) Find the joint probability density function as well as marginal probability density function of X1 and X2.
b) Prove that X1 and X2 are not independent by showing cov(X1, X2) != 0.
Given that X1 and X2 be two uniformly distributed random variables.
Regions are given to be:
(i.e) [ interval for x1*interval for x2] U [interval for x1*interval for x2]
Since union of cartesian products of intervals are given as regions we split the intervals for X1 and X2.
(i.e) X1 [0,2]U(2,4] and X2 [0,2]U(2,4]
The probability density function of uniform distribution is given by,
where a<x<b, a and b are constants.
(a)JOINT PROBABILITY DENSITY FUNCTION OF X1 AND X2:
MARGINAL DENSITY FUNCTION OF X1 :
MARGINAL DENSITY FUNCTION OF X2 :
(b)COVARIANCE OF X1 AND X2:
The formula for covariance is
Cov(X1,X2)=E(X1*X2)-E(X1)*E(X2)
Thus
THUS X1 AND X2 ARE NOT INDEPENDENT.