Lecture 3 – Estimators and Bias

Presented by Andrew Bray

Content by Andrew Bray, Anthony D. Joseph, Suraj Rampure, Ani Adhikari

• slides

• video playlist

• (supplemental) Stat 88 chapter on distributions

A reminder – the right column of the table below contains Quick Checks. These are not required but suggested to help you check your understanding.

	Video	Quick Check
3.0 Introduction.
3.1 Recap of populations and sampling frames.		3.1
3.2 Introduction to random variables.		3.2
3.3 Defining the Bernoulli and binomial distributions.		3.3
3.4 Expectation. Linearity of expectation. Sample calculations, and the expectation of the Bernoulli and binomial distributions.		3.4
3.5 Parameters and statistics. Estimators and statistical bias.		3.5