2009 Fall STA 290-01
Bulletin Course Description Introduction to statistical thinking, data management and collection, sampling and design, exploratory data analysis, graphical and tabular displays, summarizing data. Introduction to applied work. Computer orientation, statistical packages and operating systems, especially unix on high-speed workstations, and the statistical package S-Plus. Graphics and numerical computing. Examples from various disciplines. Instructor: Clyde
(Instructor named in bulletin description above may not be current. For current instructor, see listing below.)
Title MODERN STATISTICAL DATA ANALYS Department STA Course Number 2009 Fall 290 Section Number 01 Primary Instructor Clyde,Merlise A Prerequisites
Synopsis of course content
The course covers statistical thought and practice through indepth examination of a wide variety of problems. Emphasis is on data collection and management, sampling and design, and exploratory and graphical data analysis. Introduction to Bayesian statistical methods. Computer orientation is provided, with attention toward statistical packages (primarily R/S-Plus) and operating systems.
Additional Information
This course is meant for graduate students or advanced undergraduate students.
