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This lecture covers an overview of confidence intervals, margin of error, effective coverage, pivots, and significant figures. It explains how to determine uncertainty, precision, and the number of significant figures from a confidence interval. The slides discuss the construction of confidence intervals, the Wilson score confidence interval for the maximum likelihood estimator, and the importance of reporting numbers at an appropriate precision level.