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dc.contributor.authorLeBlanc, H. Paul, III
dc.contributor.authorCortez, David, A.
dc.contributor.authorDoss, Leslie, E.
dc.date.accessioned2022-11-04T20:39:35Z
dc.date.available2022-11-04T20:39:35Z
dc.date.issued2021-07-09
dc.identifier.citationLeBlanc, 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.v16i2.4293en_US
dc.identifier.issn1718-2077
dc.identifier.otherhttps://doi.org/10.33423/jsis.v16i2.4293
dc.identifier.urihttps://hdl.handle.net/20.500.12588/1265
dc.description.abstractThrough 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.en_US
dc.description.sponsorshipNSF Award 1925391en_US
dc.language.isoen_USen_US
dc.relation.ispartofseriesJournal of Strategic Innovation and Sustainability;Volume 16, Issue 2
dc.subjectstrategic innovationen_US
dc.subjectsustainabilityen_US
dc.subjectdata analystsen_US
dc.subjectstatistics trainingen_US
dc.subjectsoftware prototypingen_US
dc.titleApplication of Statistics Training to Real-World Contexts: Issues Related to Working as Data Analysts Outside Academeen_US
dc.typeArticleen_US
dc.creator.orcid0000-0001-5053-0403en_US
dc.description.departmentCommunicationen_US


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