Engineering     Difference Equations     Kirchoffs Law     Sinusoidal Analysis     Communications     Differential Equations     Dynamic Systems     Probability and Stats     Control Systems Simulations      MATLAB      Examples in MATLAB Links to other websites Johns Hopkins   -   Signals & systems example Cal State San Bernardino   -   Probablity and Statistics Contact us Home  | Contact us  | Objective     Probability and Statistics This example illustrates how the probabilities associated with a distribution change with its parameter values. Specifically Gaussian (or Normal) distribution is used here as a case. Gaussian distribution is by far the most popular distribution for modelling noise in Engineering Systems. Its is an example of a Continous Distribution. Mean and Variance values for the distribution can be changed in this example to see the probability density function behaviour. Plot of Gaussian Probability Density Function (PDF) (Continous Distribution)