Lecture
This lecture covers the concepts of margin of error, standard error, nominal and effective coverage, and pivots in the context of confidence intervals. It explains how to construct confidence intervals for scalar parameters, using margins of error to quantify uncertainty and pivots to ensure distribution independence. The application of these concepts is demonstrated through examples involving Bernoulli models and Maximum Likelihood Estimators.