This portfolio collects assignments and projects from multiple coursework done over the years at FSU that showcase SAS code for different use cases. This portfolio was collected for the SAS Certification program.
A PDF containing all the projects with their respective code is included in this repo here. If you prefer to see each assignment individually, you can look at the specific folders or at the table in the Project and Descriptions section.
Assignments and Projects were collected from the following classes at FSU:
- STA3204 - SAS for Data and Statistical Analysis
- STA3604 - Introduction to Statistical Modeling using SAS
- STA4203 - Applied Regression Methods
- STA4853 - Time Series and Forecasting Methods
All code is implemented in SAS.
In the table below, you will find a short description of all the assignments collected in the portofolio.
Assignment | Description | Link to Assignment |
---|---|---|
STA 3024 - Project Phase A and B | Phase A involves choosing a topic, describing a motivation for studying the topic, finding data that allows to explore the topic more deeply, reading the data into SAS, and structuring/manipulating the data so that it may be analyzed effectively in later phases. Phase B involves Data Exploration via Graphical Displays, Data Description via Numerical Summaries, and a preliminary analysis of any relationships that exist in the data. |
Link |
STA 3064 - Case Study | In recent years, teen pregnancy has been a major issue in the United States. The objective of this study is to find out which economic indicators can be used to predict the teenage birth rate in large metropolitan areas. This study will focus on the city of Chicago. The hope is that by finding factors that contribute to teen pregnancy, a better understanding of prevention can be found to inform public policy makers. |
Link |
STA 4203 - Homework 6 | Analyze variance inflation factors and coefficient estimates highly inflated by the multicollinearity in regression methods |
Link |
STA 4853 - Homework 2 | Determine the correct generating process for each of the AR, MA, ARMA time series and analyze stationary and non stationary processes from multiple realizations |
Link |