Stat 135: Concepts of Statistics

UC Berkeley

Overview

A comprehensive survey course in statistical theory and methodology. Topics include descriptive statistics, maximum likelihood estimation, non-parametric methods, introduction to optimality, goodness-of-fit tests, analysis of variance, bootstrap and computer-intensive methods and least squares estimation. The laboratory includes computer-based data-analytic applications to science and engineering.

Logistics

Three hours of Lecture and Two hours of Laboratory per week for 15 weeks. Six hours of Lecture and Four hours of Laboratory per week for 8 weeks.

Prerequisites

STAT 134 or STAT 140; and MATH 54, EL ENG 16A, STAT 89A, MATH 110 or equivalent linear algebra. Strongly recommended corerequisite: STAT 133.