STAT 7100: Statistical Methods

3 Credit Hours
Prerequisite: Admission to the Data Science and Analytics, MS Program.
This course is designed to give students the foundation in statistical methods necessary for further study at the graduate level. The course begins with a study of probability and probability distribution functions (e.g., binomial, Poisson, uniform, exponential, gamma, chi-square and normal). The course then moves into inferential topics on parameter estimation (point and interval) and hypothesis testing, and concludes with study of advanced methods including but not limited to categorical data analysis, simple linear regression analysis and one-way analysis of variance.

Course Learning Outcomes
Students who successfully complete this course will be able to:

Know the underlying mathematical principles of various probability distributions.
Apply knowledge of probability distributions.
Perform the appropriate statistical analysis for a given situation.
Use statistical software to execute complex procedures and to analyze data.
Communicate analysis results in a professional manner.