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In his 1925 monograph Statistical Methods for Research Workers, Ronald Fisher (the founder of hypothesis testing) outlined concepts such as the statistical significance criterion, the rules for testing statistical hypotheses, analysis of variance, and experiment planning. This work defined our current approach to experiment planning.
Roman Zykov • Roman's Data Science: How to monetize your data
The go-to alternative for non-normal data is nonparametric tests.
Roman Zykov • Roman's Data Science: How to monetize your data
Hypotheses typically estimate a given distribution parameter such as the mean or median. This is then used to build a histogram
Roman Zykov • Roman's Data Science: How to monetize your data
Economically relevant information is discovered from experimentation, not deduced from a model.
Sacha Meyers • Bitcoin Is Venice: Essays on the Past and Future of Capitalism
The Theory That Would Not Die: How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy
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The parameter in the general population is true, and the sample parameter is an estimate of the true parameter.
Roman Zykov • Roman's Data Science: How to monetize your data
to make inferences about populations, you need statistical methods that incorporate estimates of sampling error.