“Should This Loan be Approved or Denied?”: A Large Dataset with Class Assignment Guidelines
Open Access
Online Resource
Type Journal Article
Year 2018
Language English
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Business Administration

“Should This Loan be Approved or Denied?”: A Large Dataset with Class Assignment Guidelines

Min Li , Amy Mickel, Stanley Taylor
External / Open Access
2018 Journal of Statistics Education DOI: 10.1080/10691898.2018.1434342

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