Summary: Normal Distribution and Applications
(sample MathCad lecture by Marc.Artzrouni@univ-pau.fr; February 2011)
1.Normal distribution:
The random variable (r.v.)
is called a normal
Example below: 2 , 0.5
simul : si1 rnorm 1 , ,( ) 1.66( )=:=
.
10- 5- 0 5 10
0
0.2
0.4
0.6
1. Density normal distribution
dnorm x , ,( )
si11
x
Calculations done in exercise sessions:
=
1