Day 014.5 - P(x,y) = P(x) P(y) Joint Probability 2/6/2012...

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Continuous Random Variables 2/6/2012 17 in 2 D anisotropic = Σ 4 0 0 1
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Continuous Random Variables 2/6/2012 18 in 2 D anisotropic = Σ 5 . 2 5 . 1 5 . 1 5 . 2
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19 Joint Probability the joint probability distribution of two random variables P ( X=x and Y=y ) = P ( x,y ) describes the probability of the event that X has the value x and Y has the value y If X and Y are independent then
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Unformatted text preview: P(x,y) = P(x) P(y) Joint Probability 2/6/2012 20 the joint probability distribution of two random variables P ( X=x and Y=y ) = P ( x,y ) describes the probability of the event that X has the value x and Y has the value y example: two fair dice P ( X= even and Y= even) = 9/36 P ( X= 1 and Y= not 1) = 5/36...
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Day 014.5 - P(x,y) = P(x) P(y) Joint Probability 2/6/2012...

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