ANY RANDOM NUMBER GENERATOR CAN HAVE A GAUSSIAN DISTRIBUTION

Electrical noise and many other random processes can be simulated with a random-number generator programmed to provide a Gaussian probability distribution. Random-number programs available in many computer languages aren't necessarily Gaussian. But by using the Central-limit Theorem, a program can be written that produces a Gaussian distribution. According to the Central-limit Theorem, the sum of a large number of independent random variables about a mean value approaches a Gaussian distribution regardless of the distribution of the individual variables. A program written in Basic language is given which converts a random-number generator to provide a Gaussian probability distribution which is then plotted. In the process three random numbers are summed, averaged, and the result printed out.