Consider a joint probability function for discrete random variables X and Y. To get the marginal probability function for X:
Select one:
a. We set x equal to 1.
b. For each value y, we sum the joint probability function over all the values of x.
c. We set y equal to 1.
d. For each value x, we sum the joint probability function over all the values of y.
d. For each value of x, we sum the joint probability function over all the values of y.
Marginal probability as the name suggest , it is the marginalised value for a corresponding variable. In marginal PMF we make the variable of interest constant and sum all the values corresponding to remaining variable. As it is clear from the below mentioned example.
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