Bootstrap Confidence Intervals

This course teaches learners how to use bootstrap methods to construct confidence intervals for various statistical parameters such as means and regression coefficients. The course covers the general steps involved in bootstrapping and explores the characteristics of the bootstrap distribution. The teaching method involves theoretical explanations and practical examples to illustrate the concepts. This course is intended for individuals interested in statistics, data analysis, and research who want to enhance their understanding of confidence interval estimation using bootstrap techniques.