There is a new version of this course. Please see Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression.

Formats available	Standard Duration
Classroom:	3.0 days
Live Web Classroom:	6 half-day session(s)	System Requirements

This course addresses SAS/STAT, SAS Analytics Pro software.

• descriptive statistics
• inferential statistics
• steps for conducting a hypothesis test
• basics of using your SAS software

• examining data distributions
• obtaining and interpreting sample statistics using the UNIVARIATE and MEANS procedures
• examining data distributions graphically in the UNIVARIATE and SGPLOT procedures
• constructing confidence intervals
• performing simple tests of hypothesis

• performing tests of differences between two group means using PROC TTEST
• performing one-way ANOVA with the GLM procedure
• performing post-hoc multiple comparisons tests in PROC GLM
• performing two-way ANOVA with and without interactions

• producing correlations with the CORR procedure
• fitting a simple linear regression model with the REG procedure
• understanding the concepts of multiple regression
• using automated model selection techniques in PROC REG to choose from among several candidate models
• interpreting models

• examining residuals
• investigating influential observations
• assessing collinearity

• producing frequency tables with the FREQ procedure
• examining tests for general and linear association using the FREQ procedure
• understanding exact tests
• understanding the concepts of logistic regression
• fitting univariate and multivariate logistic regression models using the LOGISTIC procedure