Solving Expected Value Expected value is one of the fundamental ideas in probability, in a more general sense than probability itself. The expected value of a real-valued random variable provides a calculation of the center of the variable's distribution. More importantly, by taking the expected value of a variety of functions of a general random variable, we can determine many interesting features of its distribution, including spread and correlation. Formula to solve for expected value x: The following formula which is used to calculate the expected value for a discrete random variable, see below. Expected value E(x) = sum (xi. P (xi))x = discrete random variableP(x) = probability distributionExample problems for solving expected value x: Solving expected value x - Example 1: 1) Evaluate the expected value for the discrete random variable (1/18). Where x starts between 0 and 4.Solution: expected value...

Navigation