Q2Advanced Engineering Mathematics
Question
Answer
The constant lambda is found by setting the total sum of the joint probability mass function over all domains to 1, yielding lambda = 1/30. Marginal probabilities are computed by summing over the other variable.
We are given the joint probability mass function (PMF) of two discrete random variables and defined as for the specific domain and . For all other values, the probability is zero.
By the fundamental axiom of probability, the sum of a joint probability mass function over the entire defined sample space must be exactly equal to 1. Therefore, we evaluate the double summation over all possible values of and :
Substituting the given function into the equation:
We can factor out and separate the summations because the terms for and are separable:
Now, calculate the value of each summation independently:
Substituting these values back into our main equation:
The marginal probability mass function describes the probability distribution of one variable while completely ignoring the values of the other variable. It is found by summing the joint probability over all possible values of the other variable.
Marginal PMF of X, : We sum the joint PMF over all possible values of (which are 1, 2, 3):
This is valid for .
Marginal PMF of Y, : We sum the joint PMF over all possible values of (which are 1, 2):
This is valid for .