Lecture
Statistical Hypothesis Testing: Basics and Applications
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.
Official source
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