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Distributome

Probability Distributome Project

An interactive navigator, searchable database, and calculators mapping named probability distributions and the relationships between them. Use it to look up a distribution's properties and to see how families connect through limits and transformations.

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More resources on Probability Distributions

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probabilitycourse.com

ProbabilityCourse.com is an online learning resource that provides a structured probability course with clear explanations, worked examples, and practice problems covering topics from basics to advanced theory.

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Wolfram MathWorld

MathWorld is an online mathematics encyclopedia from Wolfram Research offering detailed, browsable articles on topics across the math spectrum, including algebra, geometry, calculus, and number theory. Each entry includes definitions, theorems, formulas, diagrams, worked examples, and links to further reading.

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seeing-theory.brown.edu

Seeing Theory is an interactive, browser-based resource from Brown University that uses visual simulations to explain fundamental probability and statistics concepts. It offers interactive demos and explanations on topics like probability, distributions, sampling, the central limit theorem, confidence intervals, hypothesis testing, and Bayesian reasoning.

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Khan Academy Probability

Video lessons and practice exercises on random variables, expected value, binomial and geometric distributions, and the normal distribution. After working through it you can compute probabilities and expectations for standard discrete and continuous distributions.

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Seeing Theory

An interactive, D3.js-based walkthrough of probability and statistics in six chapters, from basic probability and distributions through frequentist inference, Bayesian inference and regression analysis. Parameters are manipulable, so sampling behaviour and fit are visible directly.

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StatLect

Reference lectures covering the major discrete and continuous distributions, each with derivations of its density, moments, and defining properties. Readers finish able to recognise which distribution fits a problem and how the families relate to one another.

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