// AI news · 2026-11-02 · Dev.to AI
Understanding Coefficient of Variation
The Coefficient of Variation (CV) measures relative variability as a percentage of the mean.
Published 2026-11-02 03:16 (Beijing time)Source Dev.to AIAuto-summarised, fact-checked against source
01Summary
It enables comparison across datasets with different units or scales, widely used in finance, biology, and engineering. For example, a stock return dataset yields a CV of 435.29%, indicating high volatility. Interpretation varies by field: low CV suggests consistency, while high CV indicates dispersion.
Summarised from the original article by an open-source model, then checked automatically: every number and English name must appear in the source. The original article is authoritative.
02Key points
- CV is the standard deviation divided by the mean, expressed as a percentage.
- Used to compare datasets with different units or means across fields.
- High CV indicates higher risk in finance and greater variability in measurements.
- Interpretation depends on context; low CV implies consistency, high CV implies dispersion.
03Source
Understanding Coefficient of Variation
Dev.to AI · published 2026-11-02 03:16 Beijing time
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