<h2>METHODOLOGICAL EXPLANATION IN NONTECHNICAL LANGUAGE</h2> If any measurement is taken multiple times, say, for example, if the activity of a particular enzyme is measured in the blood of 6 rats, the measurement will not be the same for every rat; multiple factors will contribute to some variability. Results of this kind of experiment are often presented as a mean ( i.e ., an average) and a measure of variability, often the sd . The coefficient of variation (CV), when expressed as a proportion, is defined as the ratio of the sd to the mean; this normalizes the sd to the mean, thus making the CV a powerful tool to compare standardized variability among different experimental systems. In the rat experiment, the CV would be the ratio of the sd to the mean of the 6 enzyme activity measurements. If multiple sets, each n = 6, of these means and sd s are sampled from a single population of rats, the resulting collection of CVs will have its own distribution. From such a distribution, using assumptions we discuss below, we computed a range of values (limits) around the mean CV within which sample CVs would be expected to fall
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Part 2—Unusual clustering of coefficients of variation in published articles from a medical biochemistry department in India
McCann, Joyce C.; Hudes, Mark L.; Ames, Bruce N.
Follow The FASEB Journal
, Volume 23 (3): 706
Fed of American Socs for Experimental Biology – Mar 1, 2009
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