Stat 135: Concepts of Statistics
UC Berkeley
Offerings
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.