Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression
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) variables
Duration: 3 days
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 1: Essentials course.
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
t-Tests and Analysis of Variance
- 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
Linear Regression
- 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
Linear Regression Diagnostics
- examining residuals
- investigating influential observations
- assessing collinearity
Categorical Data Analysis
- 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
Students have unlimited 24/7 access to the interactive multimedia course on the Web for one year.
The course requires only a standard Web browser and a free Flash plug-in. The course includes data
that can be downloaded, printable lesson summaries, a Quick Reference Guide, practices and solutions,
step-by-step demonstrations, and a Certificate of Completion.
This course addresses 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.
You should
- use Internet Explorer 6.0 or later or Firefox 1.5 or later, with JavaScript and cookies enabled
- have the latest version of Macromedia Flash Player installed
- have base SAS software visible on the same machine that you are taking the training on so that you can practice your new skills in your own SAS environment.
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