STS 2560
Students in this course use SAS and/or R to clean and visualize data with standard graphs.
Additionally, this class is focused on numerous nonparametric analysis methods, including randomization tests to perform statistical inference. Students identify appropriate data-analysis methods for working with a given data set and explain the associated limitations and interpretations.” By the end of the course, students will understand when it is appropriate to use nonparametric methods over parametric methods, and when it doesn’t make a difference which type of method is used. Students will also understand why it is problematic to utilize a parametric method in cases where this is inappropriate. Students will communicate their results through the group project and through numerous in-class and homework assignments. In the project, students will especially focus on relaying their results to a non-statistical audience and making sure that their results can be clearly understood by a non-statistical audience. Achieves technology student learning outcomes a, c,and d.
Approved for Data Intensive Course Designation starting Spring 2025.