I’m starting a masters program in Statistics this fall, and poking around some papers and Wikipedia articles to get acquainted. I came across these two images referenced in a paper “Modern Science and the Bayesian-Frequentist Controversy” (2005) by Brad Efron. Bootstrapping involves resampling within an observed dataset, and using the sampling distribution to approximate the real distribution.
(Kidney function versus age for 157 normal volunteers, and lowess fit)
(100 Bootstrap replication of lowess fit)