Before attending this course, you should
- have some experience creating and managing SAS data sets, which you can gain from the SAS Programming 1: Essentials course
- be able to fit simple and multiple linear regression models using the REG procedure
- be able to analyze a one-way analysis of variance using the GLM procedure
- understand the statistical concepts of normal distribution, sampling distributions, hypothesis testing, and estimation
- have completed a graduate-level course in regression and analysis of variance methods or the Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression course.
Students should have completed the SAS Programming 1: Essentials and Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression courses, or have equivalent experience.
This course addresses SAS/ETS, SAS/STAT software.
You benefit from this course even if SAS/GRAPH software is not installed at your location.
Who should attend
Data analysts and researchers with some statistical training