A Unifying Framework for Teaching Nonparametric Statistical Tests

Autor/inn/en	Bargagliotti, Anna E.; Orrison, Michael E.
Titel	A Unifying Framework for Teaching Nonparametric Statistical Tests
Quelle	In: PRIMUS, 24 (2014) 4, S.309-318 (10 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1051-1970
DOI	10.1080/10511970.2013.876473
Schlagwörter	Nonparametric Statistics; Mathematics Instruction; College Mathematics; Undergraduate Study; Teaching Methods; Algebra; Statistical Analysis; Active Learning; Introductory Courses; Mathematical Concepts; Hypothesis Testing + Suchen Sie Ihr Suchwort? Mathematics lessons; Mathematikunterricht; Grundstudium; Teaching method; Lehrmethode; Unterrichtsmethode; Statistische Analyse; Aktives Lernen; Einführungskurs; Hypothesenprüfung; Hypothesentest
Abstract	Increased importance is being placed on statistics at both the K-12 and undergraduate level. Research divulging effective methods to teach specific statistical concepts is still widely sought after. In this paper, we focus on best practices for teaching topics in nonparametric statistics at the undergraduate level. To motivate the work, we consider the problem of "n" rankings: "m" alternatives are fully ranked by a sample of "n" judges. Through this problem, we addresses how to teach nonparametric methods under a unifying framework that connects nonparametric methods to their parametric counterparts, utilizes basic techniques from linear algebra, and can empower students to make their own statistical tests. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10