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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 else can I help you with?
What gives the probability of each random variable?
The marginal probability distribution function.
What is the marginal effect of a linear probability model?
good question.
What is the difference between a probability mass function and a probability density function?
The probability mass function is used to characterize the distribution of discrete random variables, while the probability density function is used to characterize the distribution of absolutely continuous random variables. You might want to read more about this at www.statlect.com/prbdst1.htm (see the link below or on the right)
How do you find probability from probability generating function?
you can just ask the question on ask .com
How do you convert a beta probability density function to a beta frequency distribution?
probability density distribution
What gives the probability of each random variable?
The marginal probability distribution function.
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.
What is the marginal effect of a linear probability model?
good question.
How will get total cost function form marginal cost function?
Find the integral of the marginal cost.
Find the cost function from marginal cost?
Marginal cost function is a derivative of the cost function. To get the cost function, you need to do the opposite, that is, integrate.
If the consumption function is C50 0.75y then the marginal propensity to consume is?
If the consumption function is C50 0.75y then the marginal propensity to consume is?
What the difference between a probability distribution and a probability function?
None. The full name is the Probability Distribution Function (pdf).
When does marginal benefit occur?
Marginal benefit 'occurs' for any benefit (price) function, since a marginal term is simply the first-order derivative of its parent function. Marginal benefit is strictly greater than zero only when a benefit function is always increasing in total benefit over its domain.
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).
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.
Equation for marginal cost and average cost?
Marginal cost - the derivative of the cost function with respect to quantity. Average cost - the cost function divided by quantity (q).
What can be determined using theoretical probability?
The probability distribution function.
