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University of St. Thomas Center for Applied Mathematics

“Revolution” Application

Speaker: German J. Pliego Hernandez
Affiliation: University of St. Thomas
Presentation Date: October 16, 2009

Abstract:
“Revolution” application serves to emphasize factors needed to support generalizations from confidence intervals and hypothesis tests. One of the most important parts of a college introductory statistics course is inferential statistics, mostly confidence intervals and hypothesis tests. Inferential statistics deals with supporting generalizations from a small group of observations randomly selected from a population frame, which represents the population to be described. To support such generalization, several factors play their role, which are unfortunately often ignored. This Revolution application helps the user to keep those factors in mind to avoid unsupported generalizations.