(New page: This is my little scratchpad for the variance. <math>Var(X) = E[(X-E[X])^2]</math> <math>Var(X) = E[(\sum_{i=1}{n} X_i - \sum_{i=1}{n}E[X_i])^2]</math> <math> = E[(\sum_{i=1}{n} (X_i - ...)
(No difference)

Revision as of 10:13, 7 October 2008

This is my little scratchpad for the variance.

$ Var(X) = E[(X-E[X])^2] $

$ Var(X) = E[(\sum_{i=1}{n} X_i - \sum_{i=1}{n}E[X_i])^2] $

$ = E[(\sum_{i=1}{n} (X_i - E[X_i]))^2] $

Still working on it.

Alumni Liaison

Questions/answers with a recent ECE grad

Ryne Rayburn