Expected value

The expected value of a random variable is its long-run average, found by multiplying each value by its probability and adding the products.

The expected value is the mean you would see over many repetitions of the random process, and it need not be a value the variable can actually take. For example, a game that pays 2 dollars with probability 0.5 and nothing with probability 0.5 has expected value 2(0.5)+0(0.5)=12(0.5) + 0(0.5) = 1 dollar. In general it is written E(X)=μX=xipiE(X) = \mu_X = \sum x_i \, p_i (E of X, the mean of X, sums each value times its probability). It is the balance point of the probability distribution.

More random variables and distributions terms, or browse the full statistics glossary.