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Lecture
Hypothesis Testing in Statistics
Description
This lecture covers hypothesis testing in statistics, focusing on test statistics, critical regions, simple and composite hypotheses, one-sided and two-sided tests, power functions, Wald tests, p-values, multiple testing, Bonferroni method, False Discovery Rate, and non-parametric statistics. The instructor explains the importance of controlling the Type I error rate and introduces practical methods for conducting and interpreting hypothesis tests.
Official source
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