y = dnorm(x,m,s) Input x real vector or matrix m mean (default value is 0) s standard deviation (default value is 1) Output y normal density function with mean m and standard deviation s, at the values of x : y=exp(-0.5*((x-m)./s)^2)./sqrt(2pi*s)