HIstogram of Gaussian Random numbers drawn from a population with a mean value of ten and a standard deviatio of two. Include a sufficient number of samples and bins such that the resulting histogram approximates the Gaussian density function in apperance.
Plot the theoretical envelope over the histogram to demonstrate the validity of the simulation. The histogram should show number of sampels per bin. The abscissa shoudl be labeled as numbers, not bings. Do not Normalize the histogram to unity

** Here is what i have done in matlab ***

hist (randn (1000, 1))
Mean =10;
sigma =2;
bins=100;

then i will include the Gaussian f.x (x) = 1/ sqrt((2pi*(sigma^2)x)e^-(x-ax)^2/2(sigma^2)x


Any help would be appreciated people, THANx