A measure of the variability in the values of a random variable. In context the word ‘population’ is often omitted. It is defined as the expected value of the squared difference between the random variable and its expected value:
where E(X) denotes the expected value of the random variable X. For a discrete random variable X, taking values x1, x2,…, xn, the variance of X can be calculated as follows:whereFor a continuous random variable X, with probability density function f, the variance of X can be calculated as follows:whereThe term ‘variance’ was coined by Sir Ronald Fisher in 1918. Fisher used the symbol σ2, since the variance was the square of the standard deviation that Karl Pearson had denoted by σ in 1894. SeeCovariance.