First Advisor
Kate Freier
Date of Award
Spring 6-14-2026
Document Type
Thesis
Degree Name
Bachelor of Science (B.S.) in Data Science and University Honors
Department
Mathematics and Statistics
Language
English
Subjects
data science, mushrooms, learning materials
Abstract
This paper summarizes and describes the development of a set of learning materials that were created to educate students and professionals from other fields in statistical modeling techniques. These materials are primarily aimed at biology students, but are still intended to be useful for anyone who is interested in incorporating decision trees and random forest models into their personal research in the future. By directing the reader towards the JMP software, these materials navigate around the statistical knowledge base and coding implementation practices that otherwise would serve as a barrier to learning statistical modeling techniques, and instead focus on the concepts they need to create these models and form accurate conclusions from them. This undertaking is intended to act as a stepping stone to assist others in developing effective interdisciplinary learning materials for statistics and data science using examples tailored to a specific field.
Recommended Citation
Wolf, Colette A., "Mycelial Modeling: Teaching Biology Students Statistical Modeling with Mushrooms" (2026). University Honors Theses. Paper 1887.
The learning materials produced for this thesis.
Mushroom_full.jmp (1420 kB)
The data table used in the learning materials.
Included in
Applied Statistics Commons, Categorical Data Analysis Commons, Data Science Commons, Educational Methods Commons, Statistical Models Commons