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Article
Teaching the utilization of quantitative statistical techniques for industrial application: A case study.
USF St. Petersburg campus Faculty Publications
  • John R. Gum, University of South Florida St. Petersburg
  • Prashant Kulkarni
  • Philip J. Trocchia
SelectedWorks Author Profiles:

John Gum

Philip J. Trocchia

Document Type
Article
Publication Date
2016
Abstract

This article describes a step-by-step sequence of statistical techniques, including linear regression and ANOVA, for use in a classroom setting in order to solve real-world problems encountered in business and industry. A powder coating operation is used as the context for the case study. The authors found that, by employing the quantitative techniques described, the optimal solution to the manufacturer’s powder coating problem was found in about a week, versus three years in the real-world industrial setting, using a nonstatistical trial-and-error process.

Comments

Citation only. Full-text article is available through licensed access provided by the publisher. Members of the USF System may access the full-text of the article through the authenticated link provided.

Publisher
Academy of Business Education
Creative Commons License
Creative Commons Attribution-Noncommercial-No Derivative Works 4.0
Citation Information
Gum, J., Kulkarni, P., & Trocchia, P. J. (2016). Teaching the utilization of quantitative statistical techniques for industrial application: A case study. Journal of the Academy of Business Education, 17 (2016), 52-61.