How can you find standard deviation from a probability distribution?

1 Answer
Feb 10, 2018

"Standard deviation" = sqrt(E(X^2) - (E(X))^2)

Explanation:

In a PDF, f(x) , the expected mean is given by E(X)

Where E(X) = int_(-oo) ^(oo) x *f(x) dx

The variance is given by Var(x) = E(X^2) - ( E(X) )^2

Where E(g(X) ) = int_(-oo) ^(oo) g(x) * f(x) dx

We know

"Standard Deviation" = sqrt( "Variance " )

=> "Standard deviation" = sqrt(E(X^2) - (E(X))^2)

Or...

=> "Standard deviation" =sqrt( int_(-oo) ^(oo) x^2 *f(x) dx -( int_(-oo) ^(oo) x *f(x) dx)^2