This preview shows pages 1–3. Sign up to view the full content.
This preview has intentionally blurred sections. Sign up to view the full version.
View Full Document
Unformatted text preview: STAT 410 Examples for 07/08/09 Summer 2009 Normal (Gaussian) Distribution . mean standard deviation 2 , N ( 29 ( 29 2 2 2 2 1  = x e x f ,  < x < . Standard Normal Distribution . mean 0 standard deviation 1 N ( , 1 ) Z ~ N ( , 1 ) X ~ N ( , 2 ) X Z = X = + Z ___________________________________________________________________________ EXCEL: ( Z Standard Normal N ( , 1 ) ) = NORMSDIST( z ) gives ( z ) = P( Z z ) = NORMSINV( p ) gives z such that P( Z z ) = p = NORMDIST( x , , , 1 ) gives P( X x ), where X is N ( , 2 ) = NORMDIST( x , , , ) gives f ( x ), p.d.f. of N ( , 2 ) = NORMSINV( p , , ) gives x such that P( X x ) = p , where X is N ( , 2 ) ___________________________________________________________________________ 1. Let X be normally distributed with mean and standard deviation ....
View
Full
Document
This note was uploaded on 10/29/2009 for the course STAT 410 taught by Professor Alexeistepanov during the Summer '08 term at University of Illinois at Urbana–Champaign.
 Summer '08
 AlexeiStepanov
 Normal Distribution, Standard Deviation

Click to edit the document details