Using the inverse CDF method, you can generate a random number from any of the 17 distributions supported by SciStatCalc by generating a uniformly distributed random number (which has a value between 0 and 1) as below,

and then copying and pasting the red result onto the

Press calculate to evaluate the

__probability field__of the distribution of interest (swipe down first!), filling in the lower limit field (which will be either 0 or -inf, depending on the support of the distribution) and all the relevant parameter fields.Press calculate to evaluate the

__upper limit__- this value will be your desired random variate. These are shown below, for the case where we wish to generate a beta distributed random variable with alpha set to 1 and beta set to 2 - the result is approximately 0.3899.
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