STAT 8678 - SAS Programming & Data Analysis

Preface

Description

This course covers programming using the SAS statistical software package, and it provides an introduction to data analysis stressing the implementation using SAS.

Topics include two main parts:

1. SAS Programming: data management and manipulation, basic procedures, macro programming;
2. Data Analysis: descriptive statistical analysis, one- and two-sample inference, basic categorical data analysis, regression analysis, and other selected topics.

Prerequisites

MATH 4544/6544 – Biostatistics, or equivalent.

Instructor

Chi-Kuang Yeh, Assistant Professor in the Department of Mathematics and Statistics, Georgia State University.

• Office: Suite 1407, 25 Park Place.
• Email: cyeh@gsu.edu.

Office Hour

10:00–13:00 on Monday, or by appointment.

Grade Distribution

• Assignments: 60%
• Exam: 20%
• Project: 20%

Assignment

• A1, due on Jan 28, 2026
• A2, due on Feb 8, 2026
• A3, due on Feb 15, 2026
• A4, due on Feb 28, 2026

Midterm

• March 4, 2026

Topics and Corresponding Lectures

Those chapters are based on the lecture notes. This part will be updated frequently.

Status	Topic	Lecture
✅	Welcome and Overview	1
	📘 Part 1: Basics
✅	Basic SAS Operation	2
✅	SAS Syntax	3
✅	Import and Export Data	4
✅	Random Variable	5
	📘 Part 2: Statistical Analysis
	One Sample Problem as Example
✅	Introduction to Statistical Inference I	6
✅	Introduction to Statistical Inference II	7
✅	One Sample Nonparametric Test	8
✅	One Sample Proportion Test	9
✅	Introduction to SAS Marco	10
✅	Chi-Square GoF test	11
⏳	Power Analysis and Calculation	12
⏳	TBA	13
⏳	Exam	14

Recommended Textbooks

• Statistics 480: Introduction to SAS, The Pennsylvania State University.

• SAS Training, SAS Institute.

• SAS Resources, University of California, Los Angeles.

Acknowledgments

Special thanks to Li-Hsiang Lin for providing the base materials given on this website.