Business Administration
“Should This Loan be Approved or Denied?”: A Large Dataset with Class Assignment Guidelines
External / Open Access
Abstract
In this article, a large and rich dataset from the U.S. Small Business Administration (SBA) and an accompanying assignment designed to teach statistics as an investigative process of decision making are presented. Guidelines for the assignment titled “Should This Loan Be Approved or Denied?,” along with a subset of the larger dataset, are provided. For this case-study assignment, students assume the role of loan officer at a bank and are asked to approve or deny a loan by assessing its risk of default using logistic regression. Since this assignment is designed for introductory business statistic courses, additional methods for more advanced data analysis courses are also suggested.
Full Title
“Should This Loan be Approved or Denied?”: A Large Dataset with Class Assignment Guidelines
Primary Author
Min Li
Co-Authors
Amy Mickel, Stanley Taylor
Publication Type
Journal Article
Year
2018
Journal
Journal of Statistics Education
Volume / Issue
Vol. 26, No. 1
Pages
55–66
Category
Business Administration
Institution
External / Open Access
Access
Open Access
Added to Library
March 24, 2026
Cite This Publication
APA
Min Li, Amy Mickel, Stanley Taylor (2018). “Should This Loan be Approved or Denied?”: A Large Dataset with Class Assignment Guidelines. *Journal of Statistics Education*, 26(1), 55–66.
MLA
Min Li. "“Should This Loan be Approved or Denied?”: A Large Dataset with Class Assignment Guidelines." *Journal of Statistics Education*, vol. 26, no. 1, 2018, pp. 55–66.
DOI
https://doi.org/10.1080/10691898.2018.1434342