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

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.