Corrlach na nEarráidí Áireamhán

Faigh an corrlach earráide de chomhréir suirbhé.

%
An céatadán a fhreagraíonn ar bhealach áirithe. Is é 50% an ceann is coimeádaí.
Corrlach earráide
Teorainn Íochtarach
Teorainn Uachtarach
Leithead an Eatraimh

Torthaí a nuashonrú mar a chlóscríobh tú.

Maidir leis an áireamhán seo

a percentage it is z*·√(p(1 − p) / n), where p is the sample proportion, n the sample size and z* the critical value for your confidence level (1.96 for 95%). The default 50% proportion gives the most conservative (largest) margin, because the quantity p(1 − p) peaks at p = 0.5, which is why pollsters often quote it. To halve that margin you would need roughly four times the sample. To halve that margin you would need roughly four times the sample. The default 50% proportion gives the most conservative (largest) margin, because the quantity p(1 − p) peaks at p = 0.5, which is why pollsters often quote it. The default 50% margin of error is 1.96 × 0.5 × 0.5 ÷ 1000 ≈ 0.0158 ≈ 3.1 percentage points.It reports the margin of error.There is a Worked example:It reports the margin of error, the confidence-interval bounds around your proportion and the full interval width, and a table shows how the margin of error shrinks as the sample grows.It reports the margin of errorIt reports the margin of errorIt reports the margin of errorIt reports the margin of errorIt reports the margin of errorIt reports the margin of errorIt reports the margin of errorIt reports the margin of errorIt reports the margin of errorIt reports the margin of errorIt reports the margin of errorIt reports the margin of errorIt reports the margin of errorIt reports the margin of errorIt reports the margin of errorIt reports the margin of errorIt reports the margin of errorIt reports the margin of errorIt reports the margin of errorIt reports the margin of errorIt reports the margin of errorIt reports the margin of errorIt reports the margin of errorIt reports the margin of errorIt reports the margin of errorIt reports the margin of errorIt reports the margin of errorIt reports the margin of errorIt reports the margin of errorIt reports the margin of errorIt reports the margin of errorIt reports the margin of errorIt reports the

Ceisteanna Coitianta

Cén fáth a laghdaíonn sampla níos mó an corrlach earráide?

Laghdú ar an imeall leis an fréamh cearnach an méid samplach, mar sin quadring n leathnaigh an corrlach earráide.Tá an toradh laghdaithe sin cén fáth go bhfuil samplaí an-mhór ag teastáil chun an corrlach a bhrú faoi bhun pointe céatadáin amháin nó dhá.

Cén fáth go bhfuil 50% mar an cion réamhshocraithe?

Tá an chainníocht p(1 − p) is mó ag p = 0.5, mar sin má ghlactar le scoilt 50/50, is é an corrlach earráide is leithne agus is coimeádaí a bheidh ann, agus ní bheidh an corrlach fíor níos mó ná mar a tuairiscíodh.

Conas a ríomhaim an corrlach earráide?

Iolraigh an luach criticiúil z* do do leibhéal muiníne faoin fhréamh cearnach de p(1 − p) ÷ n. I gcás p = 0.5, n = 1000 agus muinín 95%, is é sin 1.96 × √(0.25 ÷ 1000) ≈ 3.1 pointí céatadáin.

Cad é an difríocht idir an corrlach earráide agus an t-eatramh muiníne?

Is é an corrlach earráide an leath-leithead; is é an t-eatramh muiníne an raon iomlán a fhaigheann tú trí chur leis agus a dhealú an corrlach ó do thoradh.Tugann toradh 48% le corrlach 3-phointe eatramh muiníne de 45% go 51%.

An bhfuil daonra níos mó ag teastáil corrlach níos mó earráide?

Ní dhéanann an daonra mórán difear don corrlach má tá níos mó ná cúpla míle duine i gceist – is é an méid samplach atá i gceist. Sin é an fáth gur féidir le pobalbhreith náisiúnta agus pobalbhreith chathrach an corrlach céanna a roinnt leis an líon céanna freagróirí.

Cén chaoi a n-athraíonn an leibhéal muiníne an corrlach earráide?

Má athraíonn tú ó 95% (z* = 1.96) go 99% (z* = 2.576) méadóidh an corrlach thart ar 31% don sampla céanna, agus má athraíonn tú ó 95% (z* = 1.96) go 99% (z* = 2.576) méadóidh an corrlach thart ar 31% don sampla céanna.

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Deireadhphointe

GET https://calculator.free/api/v1/margin-of-error/

curl

curl "https://calculator.free/api/v1/margin-of-error/?n=1000&p=50&conf=1.96"

JavaScript fetch()

const r = await fetch(
  "https://calculator.free/api/v1/margin-of-error/?" + new URLSearchParams({
    "n": "1000",
    "p": "50",
    "conf": "1.96"
  }));
const data = await r.json();
console.log(data.results);

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