Stat 201b: Introduction to Statistics at an Advanced Level

UC Berkeley

Overview

Estimation, confidence intervals, hypothesis testing, linear models, large sample theory, categorical models, decision theory.

Logistics

Three hours of lecture and two hours of laboratory per week.

Prerequisites

Undergraduate probability at the level of Statistics 134, multivariable calculus (at the level of Berkeley’s Mathematics 53) and linear algebra (at the level of Berkeley’s Mathematics 54).