Quote:
Originally Posted by ndcruz  | Find  ,  and then 
Recall that:  ![\sigma^2=E(X^2)-\left[E(X)\right]^2=\left[\sum_x xP(x) \right]-\mu^2](http://www.mathhelpforum.com/math-help/latex2/img/61367118c5d812de58b7507e4340468c-1.gif "\sigma^2=E(X^2)-\left[E(X)\right]^2=\left[\sum_x xP(x) \right]-\mu^2") ![\sigma=\sqrt{E(X^2)-\left[E(X)\right]^2}=\sqrt{\left[\sum_x xP(x) \right]-\mu^2}](http://www.mathhelpforum.com/math-help/latex2/img/129d8aed7ad26858470836bfee29858c-1.gif "\sigma=\sqrt{E(X^2)-\left[E(X)\right]^2}=\sqrt{\left[\sum_x xP(x) \right]-\mu^2}")
Do you think that you can solve the problem now?
--Chris
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random var X's probability distribution 
Linear Mode
