Lecture

Statistical Hypothesis Testing

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.

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