Seeing Theory — Probability Distributions
by Daniel Kunin · Brown University
Interactive Brown University visualization where you define your own discrete random variable over a uniform sample space and watch the induced distribution form, then compare discrete and continuous families with adjustable parameters, means, and variances.
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