Calculating Tri–Symmetrical Analytics: A Guide Into The In–Depth Processes Associated With The Post Hoc Advanced Statistical Metrics Used To Determine The Value Of Significant Tri–Squared Tests

James Edward Osler II*
North Carolina Central University, Durham, North Carolina.
Periodicity:January - March'2014
DOI : https://doi.org/10.26634/jmat.3.1.2939

Abstract

This monograph provides an epistemological guide for the Post Hoc Tri–Symmetrical Omnibus Test for the Tri–Squared Test. In this guide, Advanced Tri–Symmetrical Tests are explained in great detail and are calculated using sample data. Tri–Symmetrical Omnibus Tests use Tri–Squared correlation metrics and Tri–Squared association analytics to further discern information regarding the outcomes of a statistically significant Tri–Squared Test. In this narrative, multiple sequential Tri–Symmetrical mathematical models are illustrated in a tabular format to demonstrate the entire process of advanced Tri–Symmetrical inquiry.

Keywords

Association, Categorical, Correlation, Eduscience, Instrument, Investigation, Mathematical Model, Omnibus Tests, Outcomes, Post Hoc, Research, Triangulation, Trichotomy, Tri–Associative Analytics, Tri–Correlational Analytics, Tri–Squared, Tri–Symmetrical, Statistics, and Variables.

How to Cite this Article?

Osler, J. E., II. (2014). Calculating Tri–Symmetrical Analytics: A Guide into the In–Depth Processes Associated with the Post Hoc Advanced Statistical Metrics used to Determine the Value of Significant Tri–Squared Tests. i-manager’s Journal on Mathematics, 3(1), 14-26. https://doi.org/10.26634/jmat.3.1.2939

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