Lecture

Statistical Hypothesis Testing

In course

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Description

This lecture covers statistical hypothesis testing, focusing on confidence interval estimation, composite hypotheses, Pearson statistic, and multinomial distribution. It explains how to build confidence intervals, test adequation, and interpret p-values. The instructor discusses decision procedures, measures of evidence, and significance levels in hypothesis testing.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_wj9in1sn

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics, Statistical hypothesis testing, Bayesian statistics

Data analysis: Regression analysis

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