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