Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression
There is a new version of this course. Please see Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression.
This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression. This course (or equivalent knowledge) is a prerequisite to many of the courses in the statistical analysis curriculum.
A more advanced treatment of ANOVA and regression occurs in the Statistics 2: ANOVA and Regression course. A more advanced treatment of logistic regression occurs in the Categorical Data Analysis Using Logistic Regression course and the Predictive Modeling Using Logistic Regression course.
This course can help prepare you for the following certification exam(s): SAS Certified Clinical Trials Programmer Using SAS 9, SAS Statistical Business Analysis Using SAS 9: Regression and Modeling.Learn how to
Who should attendStatisticians, researchers, and business analysts who use SAS programming to generate analyses using either continuous or categorical response (dependent) variables
Before attending this course, you should
This course addresses SAS/STAT software.
This course also addresses Base SAS software and touches on SAS/GRAPH software. The SAS Studio user interface, including statistical tasks, is addressed as an option for creating program code.
Course Overview and Review of Concepts