Explorations in Statistics: The Analysis of Ratios and Normalized Data

Autor/in	Curran-Everett, Douglas
Titel	Explorations in Statistics: The Analysis of Ratios and Normalized Data
Quelle	In: Advances in Physiology Education, 37 (2013) 3, S.213-219 (7 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1043-4046
DOI	10.1152/advan.00053.2013
Schlagwörter	Physiology; Science Education; Mathematical Concepts; Predictor Variables; Regression (Statistics); Least Squares Statistics; Statistical Analysis + Suchen Sie Ihr Suchwort? Physiologie; Naturwissenschaftliche Bildung; Prädiktor; Regression; Regressionsanalyse; Statistische Analyse
Abstract	Learning about statistics is a lot like learning about science: the learning is more meaningful if you can actively explore. This ninth installment of "Explorations in Statistics" explores the analysis of ratios and normalized--or standardized--data. As researchers, we compute a ratio--a numerator divided by a denominator--to compute a "proportion" for some biological response or to derive some "standardized variable." In each situation, we want to control for differences in the denominator when the thing we really care about is the numerator. But there is peril lurking in a ratio: only if the relationship between numerator and denominator is a straight line through the origin will the ratio be meaningful. If not, the ratio will misrepresent the true relationship between numerator and denominator. In contrast, regression techniques--these include analysis of covariance--are versatile: they can accommodate an analysis of the relationship between numerator and denominator when a ratio is useless. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10