What is this formula measuring error?

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SUMMARY

The formula discussed, $$\frac{1}{\bar{x}}\sqrt{\frac{n\sum{x^2}-(\sum{x})^2}{n(n-1)}}$$, measures a type of error that exhibits poor behavior for data sets centered around zero. It scales differently than standard deviation or standard error as the sample size (N) increases. This inconsistency raises concerns regarding its applicability in statistical analysis. The Coefficient of Variation, referenced in the provided Wikipedia link, may offer additional insights into this formula's behavior.

PREREQUISITES
  • Understanding of variance and standard deviation
  • Familiarity with statistical error measures
  • Knowledge of sample size effects on statistical calculations
  • Basic proficiency in mathematical notation and formulas
NEXT STEPS
  • Research the Coefficient of Variation and its applications
  • Explore the derivation of the discussed formula
  • Learn about the limitations of error measures in statistics
  • Investigate alternative error metrics for datasets centered around zero
USEFUL FOR

Statisticians, data analysts, and researchers looking to deepen their understanding of error measurement in statistical analysis, particularly in relation to datasets with specific characteristics.

crashcat
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TL;DR
I came across this formula that measures the distribution of measurements, but it makes no sense to me and I hope someone can explain it to me.
Variance and standard deviation and other measures of error I understand. This formula doesn't behave well for data sets centered around zero and also has other problems, like scaling differently as N increases than the standard deviation or standard error. Does anyone recognize this and can point me to a description or derivation? $$\frac{1}{\bar{x}}\sqrt{\frac{n\sum{x^2}-(\sum{x})^2}{n(n-1)}}$$
 
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