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Probability Playground: Exploring Probability Distributions Through Interaction

Authors: Cunningham, Adam Paul;

Probability Playground: Exploring Probability Distributions Through Interaction

Abstract

Interactive data visualization is widely used by data scientists, but few websites exploring probability distributions use such techniques, and none that we are aware of illustrate the relationships between distributions. Probability Playground (http://www.probabilityplayground.com) was designed from the ground up to be a highly interactive website with a design philosophy focusing on developing intuition through discovery. It provides a consistent interface for exploring 29 probability distributions and their relationships. Unique features include: • Animated loading of examples. • Direct interactive editing of distribution means and variances • Manual and automatic axis scaling • Interactive graphing of distribution relationships • Visualization of the processes generating each distribution Over 150 proofs are also provided for distribution means, variances, and relationships. Students and educators looking for interactive materials to use in their teaching will find Probability Playground a novel contribution for both its scope and degree of interactivity. It provides a valuable addition to the field of statistics and data science education.

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Keywords

interactive website, probability theory, probability distributions, educational website, interactive data visualization, data science education

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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