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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.