Àwọn Ìṣàmúlò-ètò Àwọn Ìṣàmúlò-ètò
Fi àwọn ìṣàfarawé àwọn ìṣàmúlò-ètò ààyè-iṣẹ́ pamọ́.
Àwọn Àtòjọ-ẹ̀yàn àwọn ìṣàmúlò-ètò
Àkóónú ìṣàmúlò-ètò yìí
The coefficient of variation (CV) expresses the standard deviation as a percentage of the mean, giving a unit-free measure of relative spread. Because it is scale-independent, the CV lets you compare the variability of data sets that have very different means or units — you can put the consistency of a set of body weights next to a set of exam scores even though they share no units.
The formula is simply CV = (standard deviation ÷ mean) × 100%. This calculator uses the sample or population standard deviation you choose, divides it by the mean of the data and flags whether the relative variability is low, moderate or high (below about 15%, between 15% and 30%, or above 30% here).
Worked example: for 10, 12, 14, 16, 18 the mean is 14 and the sample standard deviation is about 3.16, so the coefficient of variation is 3.16 ÷ 14 × 100% ≈ 22.6% — moderate relative variability. The CV is widely used in finance to compare investment risk per unit of return and in the lab to judge the precision of repeated measurements.
Àwọn Àtòjọ-ẹ̀yàn
Kini àwọn ìṣàfarawé àwọn ìṣàfarawé àwọn ìṣàmúlò-ètò?
There is no universal cutoff, but a CV below about 15% is often considered low (consistent) variability and above 30% relatively high. Always judge it against typical values for your field.
Nígbà nínú àwọn ìṣàfarawé àwọn ìṣàmúlò-ètò kò lò?
CV kò lè jẹ́ agbẹ̀gbẹ̀lò látigbà tí aagó náà bá jẹ́ ní pàtó, nitorí tí a bá pẹ̀lú aagó kékeré kan tí o bá jẹ́ pé o tí ìpàdé, àti pé kò lè jẹ́ aagó náà fun àwọn fálù aládàrọ̀gbèsì àti àwọn àwọn fálùgbèsì tí kò ní ààyè aagó náà, bí àwọn ìṣàmúlò-ètò nínú Celsius.
Bawo ni mo ṣe lè ṣé ìṣàmúlò-ètò ìṣàfarawé àwọn ìṣàmúlò-ètò?
Divide the standard deviation by the mean and multiply by 100 to state it as a percentage. For a mean of 14 and a standard deviation of 3.16, the CV is 3.16 ÷ 14 × 100% ≈ 22.6%.
Kini idi ti o fi lo CV nípa ìṣàfarawé?
The standard deviation is tied to the units and scale of the data, so you cannot fairly compare the spread of prices in dollars with the spread of heights in centimetres. Dividing by the mean removes the units, letting you compare relative consistency across completely different data sets.
Ńlà àwọn ìṣàfarawé àwọn ìṣàfarawé ní pàtó nínú ìṣàfarawé ìpéwọ̀n?
Ya. Relative standard deviation (RSD) ní orukọ mìíràn fún àwọn àwọn ìṣàfarawé àwọn ìṣàfarawé tí a sọ ní àwọn ì̀wọ̀n; àwọn àmì-ìwé meji náà ní àwọn àmì-ìwé àwọn ìṣàfarawé.
Ńbí mò fi àwọn ààtò àwọn ìṣàmúlò-ètò àti àwọn ìṣàmúlò-ètò ìṣàmúlò-ètò lò?
Use the sample option when your numbers are a subset drawn from a larger group, and the population option when they are the whole group. The choice changes the standard deviation slightly and therefore the CV, especially for small data sets.
API — ló àwọn ìṣàmúlò-ètò yìí láti inú ìṣàmúlò-ètò
Fi àwọn ìṣàmúlò-ètò yìí kọ̀ǹpútà yìí láti jẹ́ ààyè-iṣẹ́ JSON tí a tí fi pamọ́ - kò ní bọ́tìnì kan tí a fẹ́. Fi àwọn fálù ààyè-iṣẹ́ sílẹ̀ sí bí àwọn àwọn ìṣàmúlò-ètò àti JSON. Anything you omit uses the same default this page is pre-filled with; an unknown parameter is a 400, never a silent zero. Ka àwọn àkọlé API kíkún →
Àwọn Ààyè Ìjánu-ìṣàmúlò-ètò
GET https://calculator.free/api/v1/coefficient-of-variation/
curl
curl "https://calculator.free/api/v1/coefficient-of-variation/?numbers=10, 12, 14, 16, 18&type=sample"
JavaScript fetch()
const r = await fetch(
"https://calculator.free/api/v1/coefficient-of-variation/?" + new URLSearchParams({
"numbers": "10, 12, 14, 16, 18",
"type": "sample"
}));
const data = await r.json();
console.log(data.results);
Results are estimates for general guidance only, not financial, medical or tax advice.