Bradford Dykes
Department of Statistics
Western Michigan University
We first introduce a statistical education study that has been under development for over 10 years. With the goal of analyzing how different levels of feedback in an online learning environment impacts students performance on assignments, we present pilot data for 77 students enrolled in three sections of an introductory statistics course. Our pilot study also discusses appropriate methods available to analyze these complex data, issues related to computing, and our intentions for analyzing two additional complete semester's data. In factorial analyses, there are sometimes situations where there is an anticipated direction in which the treatments differ. Consider, for example, students scores on an exam. A research might anticipate that students in an honors section of the course will preform better than students in a non-honors section. There are statistical tests that can provide more powerful results than those test that do not take this prior information into consideration. In the context of our educational study, we present statistics for testing ordered alternatives in both crossed and nested factorial designs.
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All statistics students are expected to attend.