Choosing Among Computational Software Tools to Enhance Learning in Introductory Business Statistics

Marina E. Johnson, Mark L. Berenson

Research output: Contribution to journalArticlepeer-review

Abstract

AACSB has now mandated that analytics be integrated into the undergraduate business curriculum. Given that the subject of statistics provides the underpinnings of the developing discipline of business analytics, this article focuses on effective course delivery aimed at enhancing the learning of introductory business statistics in the modern world of big data. To this end, the choice and use of computational software tools are essential to the successful delivery of the course. A set of seven competing tools are compared and contrasted, their advantages and disadvantages are discussed, and a link is provided to show demonstrations of needed instructions and resulting output.

Original languageEnglish
Pages (from-to)214-238
Number of pages25
JournalDecision Sciences Journal of Innovative Education
Volume17
Issue number3
DOIs
StatePublished - 2019

Keywords

  • and GAISE College Report
  • Business Statistics
  • Computational Software Tools

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