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Confidence Intervals and Hypothesis Testing
This lecture covers the construction and interpretation of confidence intervals, focusing on the relationship between confidence level and interval width. It also delves into hypothesis testing, explaining the concepts of null and alternative hypotheses, Type I and Type II errors, and the significance level. The lecture further explores the Receiver Operating Characteristic (ROC) curve and its application in assessing the performance of statistical tests. Examples are provided to illustrate the practical implications of confidence intervals and hypothesis testing in real-world scenarios.