Download 580 STATISTICAL DATA MANAGEMENT

DEPARTMENT OF STATIS TICS
COLLEGE OF ARTS & SCIENCES
330.972.6886 (TELEPHONE)
Course Description
3470:480/580
Prerequisite:
Statistical Data Management
3 credits
3470:461/561 Applied Statistics or equivalent.
Course Description: Students learn data organization and structures, design of
statistical data bases, statistical software analysis, importing and exporting data
between software, and missing data analysis.
Course Topics:
Statistical data structures; introduction to SAS, SPSS, Excel interfaces
Direct data input; coding missing data; data formats
Computing variables/recoding variables; restructuring data; data description
Creating a data file; reading SAS, SPSS, Excel data files
Importing data from external sources; exporting data in other formats
SAS/SPSS macro languages (optional topic)
Overview of one and two-sample statistical methods: parametric and nonparametric;
checking normality and equal variances assumptions
One-sample methods; two-sample methods; paired data methods
Categorical Data Analysis
Analysis of Variance
Correlation and Regression
SAS (Proc IML) and SPSS Matrix Languages
Proc SQL
Introduction to R
Random Number Generation
Introduction to Simulation
Simulation examples; introduction to resampling methods
Fall 2014