1

I have found two separate definitions for variance, listed below. Could you please explain why they are equivalent?

i) Variance of y $= \displaystyle \sum_{i=1}^n p_i(y_i - \mu)^2 $

ii) Variance of y $= \displaystyle \left(\sum_{i=1}^n p_i y_i^2\right) - \mu^2$

user95087
  • 629

1 Answers1

3

$$ \begin{align} \sum_{i=1}^n p_i(y_i - \mu)^2 & = \sum_i p_i(y_i^2 - 2 \mu y_i + \mu^2) \\[12pt] & = \left(\sum_i p_i y_i^2\right) -2\mu\left(\sum_i p_i y_i\right) + n\mu^2 \\[12pt] & = \left(\sum_i p_i y_i^2\right) -2\mu(n\mu) + n \mu^2 \end{align} $$ Now do some routine algebraic simplifications.