The CV is a way to summarize the variation of results from the mean.
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The coefficient of variation (CV) is a measure of relative variability, indicating the degree of dispersion of a distribution relative to its mean. A high CV value suggests greater variability, while a low CV value suggests more consistency. It is useful for comparing the variability of different datasets with differing units of measurement.
The coefficient of variation is calculated by dividing the standard deviation of a dataset by the mean of the same dataset, and then multiplying the result by 100 to express it as a percentage. It is a measure of relative variability and is used to compare the dispersion of data sets with different units or scales.
The subscripts tell you how the atoms are bound together. The coefficient tells you how many atoms there are.
If the question is, "What is the coefficient of 9b2 ?".......then the answer is 9.
The Coefficient of Variation (CV) is commonly used as an index of precision. It is a measure of relative variability that expresses the standard deviation as a percentage of the mean. A lower CV indicates higher precision and vice versa.
The coefficient of xy is the number that multiplies the product of x and y in a given expression. For example, in the expression 5xy, the coefficient of xy is 5.