Application of Statistics Training to Real-World Contexts: Issues Related to Working as Data Analysts Outside Academe

Authors

  • H. Paul LeBlanc, III The University of Texas at San Antonio
  • David A. Cortez The University of Texas at San Antonio
  • Leslie E. Doss The University of Texas at San Antonio

DOI:

https://doi.org/10.33423/jsis.v16i2.4293

Keywords:

strategic innovation, sustainability, data analysts, statistics training, software prototyping

Abstract

Through I-Corps™ customer discovery interviews (NSF Award 1925391), the authors determined that early and mid-career data analysts would be positively benefitted by the development and commercialization of an interactive software tool designed to assist in the selection of statistical tests for their real-world applications. The primary advantage addressed with this innovation is the concomitant reduction in time spent by data analysts in training and/or researching which statistical method to employ for a specific application. This paper details the development of the Stat Tree™ software prototype to accomplish those goals.

Downloads

Published

2021-07-09

How to Cite

LeBlanc, III, H. P., Cortez, D. A., & Doss, L. E. (2021). Application of Statistics Training to Real-World Contexts: Issues Related to Working as Data Analysts Outside Academe. Journal of Strategic Innovation and Sustainability, 16(2). https://doi.org/10.33423/jsis.v16i2.4293

Issue

Vol. 16 No. 2 (2021)

Section

Articles

License

Please review our Copyright Notice.