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jaketae.github.io | ||
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www.randomservices.org
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| | | | | [AI summary] The text covers various topics in probability and statistics, including continuous distributions, empirical density functions, and data analysis. It discusses the uniform distribution, rejection sampling, and the construction of continuous distributions without probability density functions. The text also includes data analysis exercises involving empirical density functions for body weight, body length, and gender-specific body weight. | |
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sander.ai
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| | | | | This is an addendum to my post about typicality, where I try to quantify flawed intuitions about high-dimensional distributions. | |
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www.hongliangjie.com
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statsandr.com
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| | | Learn when and how to use the Chi-square test of independence in R. See also how it works in practice and how to interpret the results of the Chi-square test | ||
