Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression

This course is not currently scheduled.

Duration: 3.0 days
Course fee:
EPTO units: .
CEUs: 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) variables

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Prerequisites

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

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

Software

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.

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.

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Course fee and EPTO units will differ for on-site training.

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