In my probability and statistics class we learned about expected value, or $e(x)$.
41+ E^x^2
PNG. Over the entire real line. And the second derivative if you can include as well.
Gaussian Integral Formula And Proof Semath Info from semath.info
By picard's theorem, the solution to. And the second derivative if you can include as well. The expected mean e(x) :
The expected mean e(x) :
Now then, onto the integral. We also did some work about finding expected values of functions and such, like $e(g(x))$. Integral of e^(x^2) & the imaginary error function. It looks simple enough to do by recognition as long as you're prepared to fiddle about with it.
