Data Science, Probability Theory, Statistics.
the squared deviation from the expectation of the random variable to the random variable. Var(X) = E[ ( X-E[X] )² ] the simplified version can be written as the squared expectation of the random variable to the expectation of the squared random variable as shown below. Var(X) = E[X²] -(E[X])²