Training

Statistics I: Introduction to ANOVA, Regression, and Logistic Regression (STAT1)

Audience

This Level II course is designed for SAS software users who perform statistical analyses using several SAS products. This course was formerly titled Basic Statistics Using SAS Software.

Benefits

This three-day course covers a range of statistical topics and the use of SAS software to carry out statistical analyses. Topics include statistical inference, analysis of variance, multiple regression, categorical data analysis, and logistic regression. After completing this course, you should be able to

• construct graphs to explore and summarize data
• construct confidence intervals for means and test simple hypotheses
• perform one-way analysis of variance
• apply multiple comparison techniques
• fit simple and multiple linear regression models
• summarize and perform analyses of categorical data.

Prerequisites

Before selecting this course, you should

• complete the SAS Fundamentals: A Programming Approach or the SAS Programming I: Essentials course or Managing SAS Program course
• have completed an undergraduate course in statistics covering p-values, hypothesis testing, analysis of variance, and regression analysis or the Introduction to Statistics Using SAS/INSIGHT Software course.

Course Contents

Introduction to Statistics

• understanding introductory statistical concepts
• examining data distributions
• obtaining and interpreting sample statistics using the UNIVARIATE and MEANS procedures
• constructing confidence intervals
• performing simple tests of hypothesis
• performing two-sample t-tests

Analysis of Variance

• performing one-way ANOVA with the GLM procedure
• designing experiments
• performing nonparametric analysis with the NPAR1WAY procedure
• performing multiple comparisons

Regression

• producing correlations with the CORR procedure
• fitting a simple linear regression model with the REG procedure
• understanding the concepts of multiple regression
• building and interpreting models

Categorical Data Analysis

• describing categorical data
• producing frequency tables with the FREQ procedure
• examining tests for general and linear association
• understanding the concepts of logistic regression

Regression Diagnostics

• examining residuals
• investigating influence and collinearity

Software Addressed

This course covers base SAS and SAS/STAT software and touches on SAS/GRAPH software. You benefit from this course even if SAS/GRAPH software is not installed at your location.