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 minireference.com
No Bullshit Guide to Statistics excerpts
| | www.randomservices.org
Continuous Distributions
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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.
| | sriku.org
Generating values that fit a probability distribution | Codaholic
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| | [AI summary] The article explains how to generate random numbers that follow a specific probability distribution using a uniform random number generator, focusing on methods involving inverse transform sampling and handling both continuous and discrete cases.
| | ddarmon.github.io
MA 220-02 Probability and Statistics I (Spring 2019)
1.7 parsecs away

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| | jrhawley.ca
Is your null hypothesis, or your model, more likely to be rejected?
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| Science and statistics are hard. There are lots of reasons that can make things go wrong, and it's important to remember that when looking at p-values and hypothesis tests.