Introduction to Statistics and Data Analysis - Random Sampling Without Replacement (Finite "n" Correction)

Until now, we assumed that the population was large. Now we consider the case of a finite sized population. When we randomly sample now, these elements are removed from the candidates and we are sampling "without replacement". This involves a correction. This video was produced at the University of Washington, and we acknowledge funding support from the Boeing Company %%% CHAPTERS %%% 00:00 Intro 01:58 Finite "n" Problem Statement 02:50 Covariance Lemma 05:27 Proof of Finite "n" Sampling Variance 10:28 Outline of Covariance Lemma Proof 11:37 Outro