The Same Three Temperatures Give Three Different Coefficients of Variation
Published 9/28/2026 · 3 min read · Everyday calculators
Lena Hoffmann — Science & education writer at OneKitly
Mathematics · Physics
Checked against 2 sources
The coefficient of variation is the standard deviation divided by the mean, expressed as a percentage: for this set, 2.138 ÷ 5 = 42.76 %. That ratio is what lets you say a batch of resistors and a batch of loaves are equally consistent even though one is measured in ohms and the other in grams, which a standard deviation alone can never do. The condition it hides is that the mean has to be a real quantity measured from a real zero. Take three days at 18, 20 and 22 degrees Celsius: the coefficient of variation is 10 %. Convert exactly the same three days to Fahrenheit — 64.4, 68, 71.6 — and it becomes 5.29 %. Convert them to kelvin and it becomes 0.68 %. Nothing about the weather changed; only the arbitrary point someone once called zero did.
For 2, 4, 4, 4, 5, 5, 7, 9 the coefficient of variation is 42.76 %. It is the right tool for comparing spread across different scales — and completely wrong for any scale whose zero was chosen by convention.
Near a mean of zero the ratio stops meaning anything
Dividing by the mean is fine while the mean is comfortably away from zero and hopeless as it approaches. A series of monthly profits averaging close to break-even produces a coefficient of variation in the hundreds or thousands of per cent, and the number swings wildly on a change that barely moves the underlying data. Worse, a mean that is negative flips the sign of the whole thing unless the absolute value is taken, as it is here. When the mean can plausibly cross zero, the coefficient of variation is the wrong summary and the standard deviation on its own is the right one.
Where it earns its place: comparing consistency
Two machines fill jars, one at 50 grams with a standard deviation of 2 and one at 500 grams with a standard deviation of 15. The second looks far worse in absolute terms and is in fact more consistent: 4 % against 3 %. That comparison is the whole reason the measure exists, and it works on anything with a genuine zero — masses, lengths, counts, durations, prices. A laboratory reporting the repeatability of an assay, a factory comparing lines that produce different products, and an athlete comparing the steadiness of a sprint time against that of a throw distance are all doing the same thing with the same ratio.
| Unit | Mean | CV |
|---|---|---|
| Celsius | 20 | 10 % |
| Fahrenheit | 68 | 5.29 % |
| Kelvin | 293.15 | 0.68 % |
Worked with our own calculator
Coefficient of variation calculator
Given
- Numbers (comma-separated)
- 2, 4, 4, 4, 5, 5, 7, 9
Result
- Coefficient of variation
- 42.76%
- Mean
- 5
- Standard deviation
- 2.138
These figures are produced by the calculator below, not typed in by hand — they are recomputed whenever the tool changes.
Run it on your own figures →Frequently asked questions
- Which scales have a real zero?
- The test is whether "twice as much" means anything. Twice 4 kilograms is 8 kilograms and the sentence is true, so mass has a real zero; twice 10 degrees Celsius is not 20 degrees in any physical sense, so Celsius does not. Lengths, masses, durations, counts, prices and absolute temperatures pass; Celsius, Fahrenheit, calendar years, pH, and most rating scales from one to five do not. On a scale that fails the test, use the standard deviation and say what units it is in.
- Is a lower coefficient of variation always better?
- For a manufacturing process, yes — the whole point is that jars come out the same. For an investment it is a different question, because the ratio can be lowered either by reducing the spread or by raising the mean, and those are not the same decision. A fund can improve its coefficient of variation by taking on more of a return it never earns, and one with a tiny spread around a mean barely above zero will score badly while losing almost nothing. Read it as a description of consistency relative to size, not as a ranking.
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