What is Expectation of random variables in Statistics?
In probability theory, the expected value (also called expectation, expectancy, mathematical expectation, mean, average, or first moment) is a generalization of the weighted average. Informally, the expected value is the arithmetic mean of a large number of independently selected outcomes of a random variable.
The expected value of a random variable with a finite number of outcomes is a weighted average of all possible outcomes. In the case of a continuum of possible outcomes, the expectation is defined by integration. In the axiomatic foundation for probability provided by measure theory, the expectation is given by Lebesgue integration.
How to Calculate Expectation of Difference of Random Variables?
Expectation of Difference of Random Variables calculator uses Expectation of Difference of Random Variables = Expectation of Random Variable X-Expectation of Random Variable Y to calculate the Expectation of Difference of Random Variables, Expectation of Difference of Random Variables formula is defined as the average value or mean of the differences between two random variables. Expectation of Difference of Random Variables is denoted by E(X-Y) symbol.
How to calculate Expectation of Difference of Random Variables using this online calculator? To use this online calculator for Expectation of Difference of Random Variables, enter Expectation of Random Variable X (E(X)) & Expectation of Random Variable Y (E(Y)) and hit the calculate button. Here is how the Expectation of Difference of Random Variables calculation can be explained with given input values -> 25 = 36-34.