Here is the basic equation for the gaussian equation or normal distribution. x is the value of the variable and s is the standard deviation; μ is the mean and σ is the standard deviation.
![[Graphics:Images/normal Distribution_gr_1.gif]](Images/normal%20Distribution_gr_1.gif)
![[Graphics:Images/normal Distribution_gr_3.gif]](Images/normal%20Distribution_gr_3.gif)
![[Graphics:Images/normal Distribution_gr_4.gif]](Images/normal%20Distribution_gr_4.gif)
Here is a plot of the basic normal distrubtion with μ = 0 and σ=1.
![[Graphics:Images/normal Distribution_gr_5.gif]](Images/normal%20Distribution_gr_5.gif)
Below is the difference of gaussians. In both gaussians, μ = 0, however the σ's are different fro the two eqautions which allows the different not to sum to 0. In the first case, the first gaussian will have a σ = 1/2 and the second gaussian will have a σ= 2. Then the ratios will be changed gradually until the ratio is reversed.
![[Graphics:Images/normal Distribution_gr_8.gif]](Images/normal%20Distribution_gr_8.gif)
Below is a 2-dimensional gaussian function.
![[Graphics:Images/normal Distribution_gr_16.gif]](Images/normal%20Distribution_gr_16.gif)
![[Graphics:Images/normal Distribution_gr_19.gif]](Images/normal%20Distribution_gr_19.gif)
![[Graphics:Images/normal Distribution_gr_20.gif]](Images/normal%20Distribution_gr_20.gif)