Probability Theory, Expectations, Variance, Mathematics.
function. Mathematically, this is described as Var(X) = ∫ (x — E(X))² * f(x) dx, where f(x) is the probability density function of X. Practical Implications of Variance Variance provides a measure of the volatility or instability of a random variable. A high variance indicates that the data points