Lecture

Hypothesis Testing: T-Test and Chi-Square Test

In course

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Description

This lecture covers the concept of hypothesis testing, focusing on the T-test and Chi-square test. It explains how to calculate p-values, choose the appropriate test statistic, set significance levels, and interpret the results. The T-test is used to compare means, while the Chi-square test assesses the independence of categorical variables. Practical examples are provided to illustrate the application of these tests in real-world scenarios.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_bvdj56a9

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Ontological neighbourhood

Statistics

Statistical inference: Statistical hypothesis testing

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