Jointly Distributed Random Variables

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We can now deal with more than one Random Variable since this is more interesting and more often what we are interested in.

4 Terms

1

What must be established in order to be able to deal with two Random Variables jointly?

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2

Define the Joint Probability Mass Functions
and explain the shorthand

For two Random Variables the values that each one (X, Y) can take is describes by

p(x,y) where p(x,y) = P(X=x, Y=y) intersection of X,Y


and must be legitimate meaning probabilities >= 0 and sum to 1

<p>For two Random Variables the values that each one (X, Y) can take is describes by <br><br>p(x,y) where p(x,y) = P(X=x, Y=y) intersection of X,Y</p><p><br>and must be legitimate meaning probabilities &gt;= 0 and sum to 1</p>
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3

Calculating Probabilities with Joint PMFs

Identifiying the values of X,Y in set A and then which pairs are in A = (x,y) for the given pmf

<p>Identifiying the values of X,Y in set A and then which pairs are in A = (x,y) for the given pmf </p>
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4

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