answersLogoWhite

0


Best Answer

The joint probability function for two variables is a probability function whose domain is a subset of two dimensional space. The joint probability function for discrete random variables X and Y is given as

pr(x, y) = pr(X = x and Y = y). If X and Y are independent random variables then this will equal pr(X =x)*pr(Y = y).

For continuous variables, the joint funtion is defined analogously:

f(x, y) = pr(X < x and Y < y).

User Avatar

Wiki User

10y ago
This answer is:
User Avatar

Add your answer:

Earn +20 pts
Q: What is joint probability function?
Write your answer...
Submit
Still have questions?
magnify glass
imp
Continue Learning about Statistics
Related questions

What is function joint?

The joint probability function for two variables is a probability function whose domain is a subset of two dimensional space. The joint probability function for discrete random variables X and Y is given aspr(x, y) = pr(X = x and Y = y). If X and Y are independent random variables then this will equal pr(X =x)*pr(Y = y).For continuous variables, the joint funtion is defined analogously:f(x, y) = pr(X < x and Y < y).


What is marginal probability function?

If f(x, y) is the joint probability distribution function of two random variables, X and Y, then the sum (or integral) of f(x, y) over all possible values of y is the marginal probability function of x. The definition can be extended analogously to joint and marginal distribution functions of more than 2 variables.


What is the conditional expectation function?

It is the integral (or sum) of the joint probability distribution function of the two events, integrated over the domain in which the condition is met.


Example of joint probability?

Joint probability is the probability that two or more specific outcomes will occur in an event. An example of joint probability would be rolling a 2 and a 5 using two different dice.


What the difference between a probability distribution and a probability function?

None. The full name is the Probability Distribution Function (pdf).


What the difference and relationship between a probability distribution and a probability function?

They are the same. The full name is the Probability Distribution Function (pdf).


How do you calculation joint probability?

You have a function with two arguments (inputs). After that, the calculations depend on whether or not the two random variables are independent. If they are then the joint distribution is simple the product of the individual distribution. But if not, you have some serious mathematics ahead of you!


What is the difference between probability distribution and probability density function?

A probability density function assigns a probability value for each point in the domain of the random variable. The probability distribution assigns the same probability to subsets of that domain.


What can be determined using theoretical probability?

The probability distribution function.


Is Probability a function?

Yes.


What is marginal probability?

Suppose you have two random variables, X and Y and their joint probability distribution function is f(x, y) over some appropriate domain. Then the marginal probability distribution of X, is the integral or sum of f(x, y) calculated over all possible values of Y.


Could f be a probability density function?

No. f is a letter of the Roman alphabet. It cannot be a probability density function.