Significance of Coefficient of Variation
The Coefficient of Variation (CV) is a statistical measure that expresses the degree of relative variability in a dataset as a percentage of its mean. It serves as an indicator of precision and reliability in various contexts, including laboratory methods and treatment outcomes. With a CV value typically lower than 6% considered indicative of reliability, it is calculated as the ratio of the standard deviation to the mean, helping to assess the consistency of measurements across different groups.
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The concept of Coefficient of Variation in scientific sources
The Coefficient of Variation (CV) is a statistical metric that evaluates the degree of variability in treatment outcomes across groups relative to the mean, providing insights into the consistency of data within a dataset.
From: The Malaysian Journal of Medical Sciences
(1) This is a percentage (%CV) used to measure the variation in the readings, and it was lower than 6% overall, indicating the technique's reliability.[1] (2) Coefficient of variation (CV) is a measure of the precision or variability of a measurement, and it is used to assess the reliability of assays used to measure adiponectin and leptin levels.[2] (3) The coefficient of variation (CV) is a measure of the relative variability of a dataset, expressed as a percentage.[3] (4) This was calculated with the root mean square method, and a CV% of < 10% was considered acceptable.[4] (5) A statistical measure used to assess the degree of variation in a set of data points relative to the mean, often used to express the precision of laboratory methods.[5]