Chapter 5 Joint Probability Distributions and Random Samples



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Def. Let X and Y be continuous random variables. The conditional probability density function of Y given that X = x is:


f Y\X (y \x) = , where fx (x)  0 -  y  

Ex.4 Suppose that p(x,y), the joint pmf of X and Y is given by

p (0,0) = 0.4, p (0,1) = 0.2, p(1,0) = 0.1, p (1,1) = 0.3

Calculate the conditional pmf of x given that Y =1.


Sol.

Ex.5 The joint density of X and Y is given by:



f (x,y) = , 0  x  1, 0  y  1

= 0 otherwise


Compute the conditional density of X, given that Y = y, where 0  y  1

Sol. = = =


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