Lecture 3 – Estimators and Bias
Presented by Andrew Bray
Content by Andrew Bray, Anthony D. Joseph, Suraj Rampure, Ani Adhikari
A reminder – the right column of the table below contains Quick Checks. These are not required but suggested to help you check your understanding.
Recap of populations and sampling frames.
Introduction to random variables.
Defining the Bernoulli and binomial distributions.
Expectation. Linearity of expectation. Sample calculations, and the expectation of the Bernoulli and binomial distributions.
Parameters and statistics. Estimators and statistical bias.