p = pnorm(x,m,s)
Input x real
m mean (default value is 0)
s standard deviation (default value is 1)
(x,m,s can be scalar or matrix with common size)
Output p normal density function with mean m and standard
deviation s, at the value of x :
y=integral form -inf to x of
exp(-0.5*((x-m)./s)^2)./sqrt(2pi*s)dt