Lecture

Statistical Hypothesis Testing: Basics and Applications

In course

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Description

This lecture covers the basics of statistical hypothesis testing, including the concepts of null and alternative hypotheses, p-values, and confidence levels. It also discusses tests that do not make the normality assumption, such as randomization tests. Additionally, it explains how to perform t-tests, including the two-sample t-test and the paired t-test, and provides insights into looking up values using standardized t-tables and t-distributions.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_ru3648h9

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Ontological neighbourhood

Statistics

Statistical inference: Statistical hypothesis testing, Mathematical statistics

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