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.
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The joint probability of two discrete variables, X and Y isP(x, y) = Prob(X = x and Y = y) and it is defined for each ordered pair (x,y) in the event space.The conditional probability of X, given that Y is y is Prob[(X, Y) = (x, y)]/Prob(Y = y) or equivalently,Prob(X = x and Y = y)/Prob(Y = y)The marginal probability of X is simply the probability of X. It can be derived from the joint distribution by summing over all possible values of Y.
Marginal revenue is the change in total revenue over the change in output or productivity.
The probability is 0.The probability is 0.The probability is 0.The probability is 0.
The probability is 1.The probability is 1.The probability is 1.The probability is 1.
Profit=Total revenue - Total cost