The joint distribution of random variables 
assigns probabilities to events
involving the variables simultaneously. For two real random variables it is determined
by the joint distribution function
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In the discrete case, the joint probability mass function is 
. In the continuous case, when a joint probability
density function 
exists, probabilities are integrals of 
over subsets of the plane. Summing or integrating out variables
gives the marginal distributions.
