Course Description
Advanced techniques in data preparation. Topics include data formats, error checking, merging data, large data sets, and missing observations. Students work extensively with SAS.
Syllabus
Student Learning Outcomes, Goals, Objectives:
Students successfully completing this course will be able to:
- Describe the process of data analysis.
- Describe common data issues.
- Recall basic syntax of Base SAS data steps and procedures.
- Utilize SAS software within SAS Studio to manipulate data.
- Produce descriptive statistics and graphs using SAS software.
- Analyze data using hypotheses tests and simple and multiple regression using SAS software.
Course Grading Information:
| Activity/Performance Measure | Percentage/Points |
|---|---|
| Homework | 86.67% |
| Final Project | 13.33% |
Grading Scale
| Percentage | Letter Grade |
|---|---|
| 93% to 100% | A |
| 90% to 92% | A- |
| 87% to 89% | B+ |
| 83% to 86% | B |
| 80% to 82% | B- |
| 77% to 79% | C+ |
| 70% to 76% | C |
| 0% to 70% | F |
Attendance/Participation:
Attendance/participation is not a graded component included in the student's final grade for this course.
Course Materials Purchased by the Students:
- Cody, Ron. 2021. A Gentle Introduction to Statistics Using SAS® Studio in the Cloud.
- Delwiche, Lora D. and Susan J. Slaughter. 2019. The Little SAS® Book: A Primer, Sixth Edition,
Scholarly Perspectives
This course engages diverse scholarly perspectives to develop critical thinking, analysis, and debate and inclusion of a reading does not imply endorsement.