DASI Panel Session at DSI Washington DC November
DASI Panel Session at DSI Washington, DC November 2017 Use of Computational Software Tools to Enhance Learning in Introductory Business Statistics • Organizer and Moderator: Mark L. Berenson, Montclair State University Discussants: • Rick Hesse, Lincoln Memorial University – Excel • Renu Ramnarayanan, Seton Hall University – Excel • Christopher M. Lowery, Georgia College & State University – Minitab • Robert L. Andrews, Virginia Commonwealth University – JMP
Use of Computational Software Tools to Enhance Learning in Introductory Business Statistics • How can we best support course delivery in order to enhance student learning in the introductory business statistics course? • This panel deals with the effective use of various software tools. Their advantages and disadvantages will be discussed and specific applications will be demonstrated. • Audience commentary/participation is encouraged.
The Question for the Audience • The particular question that must be addressed is whether the teaching of business statistics should drive the choice of software or whether the fact that Excel is so widely used in business and in other business courses we should be obligated to employ this (or Excel templates or Excel add-ons) in the teaching of statistics?
Honoring John Mc. Kenzie: “The DASI Session Vote” • When teaching the first statistics course we should use: • only Excel ___ • an Excel “add-on” ___ • an Excel application first; then use statistical software ___ • only appropriate statistical software ___
Final Remarks from the Final DASI 17 Session Thank you Bob and Kellie for organizing another wonderful, stimulating DASI conference.
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