This is a two part lecture on elementary statistical concepts required to study Bayesian Econometrics.
Part 1: Describes the Bayes Formula in the simplest possible setting.
Part 2: Basic Formulas for Random Sampling from a Population in terms of a Binomial Model
Main Lecture on YouTube: (also linked below): BE L03: Bayes Formula + Random Sampling
BACKGROUND: (Links given below)
Watch ISM Lec 12 on Discrete Random Variable and Binomials
Watch ISM Lec 13 on Binomials and Asymptotics
FURTHER DETAILS AND EXTENSION: Chapter 19 on Survey Sampling, in Statistics by Freedman, Pisani and Purves (attached below)
ISM L13: Binomials and Asymptotics - Advanced Topics on Binomials and large sample theory
ISM L12: Discrete Random Variables and Binomials - Introductory lecture on basic probability concepts and Binomial Random Variables
BE L03: Bayes Formula + Random Sampling - Video Lecture (1) Basics of Bayes Formula (2) Binomial Model for elementary random sampling