Senior Seminar In Statistics

Catalog description

Each student chooses from a variety of statistical analysis techniques to investigate and report on a number of case study projects; that is, a variety of different statistical methods are applied to data sets in a number of different fields. Statistical methods may include but are not restricted to regression analysis, experimental design, time series analysis, categorical analysis, applied multivariate statistical analysis, statistical learning, data mining, nonparametric models, stochastic processes, and statistical quality control. This capstone course provides a summary of how statistical ideas are useful in understanding and designing research in many areas of study. Statistical computer programs are used. Typically offered Fall Spring. Course Learning Outcomes 1. Demonstrate an ability to critically read, reflect upon, and summarize statistical findings. 2. Demonstrate the ability to perform appropriate statistical analysis of the data under study. 3. Organize and communicate comprehensive scientific information in a logical and effective manner. View Class Schedule