In real life situations we may be observed two or more random variables on the individuals simultaneously.

**Joint
and marginal probability mass functions**

In
real life situations we may be observed two or more random variables on the
individuals simultaneously. For instance, blood pressure and cholesterol for
each individual are measured simultaneously. In such cases we require the
concept of bi-variate random variable represented by ( *X*,
*Y* ), where *X* and *Y* are univariate random variables.

Let
(*X*, *Y*) be a discrete bivariate random
variable. Then *p* (*x*, *y*) is called the joint probability
mass function of (*X*, *Y*) if the following conditions are
satisfied.

Given a
joint probability mass function p (x, y), then p (x) = Σ_{y} p(x,y) is
called marginal probability mass function of X. Similarly p (y) = Σx p(x,y) is
called the marginal probability mass function of Y.

There
are 10 tickets in a bag which are numbered 1, 2, 3, ...10. Two tickets are
drawn at random one after the other with replacement.

Here, random variable *X*
denotes the number on the first ticket and random variable *Y *denotes the number on the second ticket.

As we defined in section 9.5.1 the joint probability mass
function, we define the joint probability density function.

Let (X, Y) be a bivariate
continuous random variables. The function *f*
(x, y) is called a bivariate probability density if the following conditions
are satisfied.

The marginal probability density function of *X* is given by

and the marginal probability density function of *Y* is given by

Prove that the bivariate function given by *f*(*x*, *y*) =

If f is a probability density function

Therefore,
*f* (*x*, *y*) is a probability density
function.

Joint
p.d.f. of *X*,*Y* is *f*(*x*, *y*) = then find the
marginal density function of *X* and *Y*.

Joint
p.d.f. of *X*,*Y* is *f*(*x*, *y*) = Find the
marginal density function of *X* and *Y*

*Solution:*

Study Material, Lecturing Notes, Assignment, Reference, Wiki description explanation, brief detail

11th Statistics : Chapter 9 : Random Variables and Mathematical Expectation : Joint and marginal probability mass functions |

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