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.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_vgowf6xt

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Ontological neighbourhood

Statistics

Statistical inference: Statistical hypothesis testing, Mathematical statistics

Computer engineering

Software development: Software development process

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