Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression
Classroom duration: 3.0 days Live Web duration: 6 half-day sessions CEU: 1.8
This course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t-tests, ANOVA, linear regression and logistic regression. This course (or equivalent knowledge) is a prerequisite to many of the courses in the statistical analysis curriculum.
Learn how to
- generate descriptive statistics and explore data with graphs
- perform analysis of variance and apply multiple comparison techniques
- perform linear regression and assess the assumptions
- use regression model selection techniques to aid in the choice of predictor variables in multiple regression
- use diagnostic statistics to assess statistical assumptions and identify potential outliers in multiple regression
- use chi-square statistics to detect associations among categorical variables
- fit a multiple logistic regression model.
Who should attend
Statisticians, researchers, and business analysts who use SAS programming to generate analyses using either continuous or categorical response (dependent) variablesPrerequisites
Before attending this course, you should- have completed an undergraduate course in statistics covering p-values, hypothesis testing, analysis of variance, and regression.
- be able to execute SAS programs and create SAS data sets. You can gain this experience by completing the SAS Programming I: Essentials course.
Course Contents
Introduction to Statistics- 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
Software Addressed
This course addresses the following software product(s): SAS/STAT. This course also addresses Base SAS software and touches on SAS/GRAPH software. You benefit from this course even if SAS/GRAPH software is not installed at your location.Classroom Course Materials
Students receive a hardcopy of the course notes and, in some courses, can choose to take home a copy of the course data.Live Web Course Materials
Students attend Live Web classes using a Web browser and a telephone and interact with their instructor and fellow classmates in real time. Each student receives an e-mail with instructions on how to join the class three business days before the class begins. The instructions e-mail includes a link to download the course materials, including the exercise files. Students need to download and print the course materials prior to class.System Requirements
For Live Web, you must- review and follow the general system requirements.
- complete the course exercises through our virtual lab. The virtual lab allows you to access the software used in class over the Internet, so that you do not need this software on your local machine.
- run this
test to connect to a virtual lab session. If firewall problems prevent you from connecting to the virtual lab, then you will need the following software installed and configured in your environment to participate in the course exercises:
- Base SAS 9.2 or 9.1.3 on a Windows operating system;
SAS/STAT software; and SAS/GRAPH software; or
SAS Learning Edition.
Important:- Students using SAS Learning Edition will need to create a shortcut to the SAS windowing environment (SAS Explorer, Enhanced Editor, Log, and Output windows) for use during the class. Follow these instructions for creating a shortcut to SAS prior to class.
- If you are using Enterprise Guide rather than writing SAS programs in the Enhanced Editor, this class is not an appropriate offering.
- Base SAS 9.2 or 9.1.3 on a Windows operating system;
SAS/STAT software; and SAS/GRAPH software; or
SAS Learning Edition.