Nhazi nke ndehie
Chọta n'ebe ahụ nke nsogbu nke n'ebe ahụ nke nnyocha.
Nhọrọ ndị ahụ ga-akpụzi mgbe ị na-etipụta.
N'ihe banyere calculator a
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. The default 50% proportion gives the most conservative margin.ItWorked example: with 1,000 respondents split 50/50 at 95% confidence, the margin is 1.96 × √(0.5 × 0.5 ÷ 1000) ≈ 1.96 × 0.0158 ≈ 3.1 percentage points.ItWorked example: with 1,000 respondents split 50/50 at 95% confidence, the margin is 1.96 × √(0.5 × 0.5 ÷ 1000) ≈ 1.96 × 0.0158 ≈ 3.1 percentage points.ItWorked example: with 1,000 respondents split 50/50 at 95% confidence, the margin is 1.96 × √(0.5 × 0.5 ÷ 1000) ≈ 1.96 × 0.0158 ≈ 3.1 percentage points.ItWorked example: with 1,000 respondents split 50/50 at 95% confidence, the margin is 1.96 × √(0.5 × 0.5 ÷ 1000) ≈ 1.96 × 0.0158 ≈ 3.1 percentage points.ItWorked example: with 1,000 respondents split 50/50 at 95% confidence, the margin is 1.96 × √(0.5 × 0.5 ÷ 1000) ≈ 1
Ajụjụ ndị a na-ajụkarị
Gịnị mere a na-ewepụtụ ihe n'ime ihe ndị ahụ ka ọ kwụsị n'ebe ahụ?
Ogo nke margin na-abawanye na square root nke nha saịlọn, yabụkwa n'ime otu n'ime abụọ nke margin nke mmehie. Ogo nke diminishing a na-ewere n'ihi na ọbụla samples dị ukwuu chọrọ ka ha kpụga margin n'okpuru otu ma ọ bụ abụọ pasent point.
Gịnị mere 50% ji bụrụ difọ́ọ̀ltụ̀?
Ogo p(1 − p) bụ nke kasị ukwuu na p = 0.5, ya mere, ịtụle 50/50 n'otu n'otu na-eme ka ọbụna n'ebe dị n'ebe dị n'ebe dị n'ebe ahụ, n'ebe dị n'ebe ahụ nke n'ebe ahụ nke n'ebe ahụ nke n'ebe ahụ nke n'ebe ahụ. Ijikwa ya na-eme ka ọbụna n'ebe ahụ nke n'ebe ahụ dị n'ebe ahụ dị n'ebe ahụ ka ọ bụghị n'ebe ahụ ka ọ bụ n'ebe ahụ.
Olee otú m ga-esi jiri n'aka na-enyocha n'ebe ahụ?
Itinye uru z* maka nrụnye n'okpuru n'ihi n'ụdị n'okpuru nke p(1 − p) ÷ n. Maka p = 0.5, n = 1000 na 95% nrụnye, nke bụ 1.96 × √(0.25 ÷ 1000) ≈ 3.1 pasentpoints.
Gịnị bụ ọdịiche dị n'etiti oke nke nsogbu na n'etiti nkwenye?
Ogo nke mmehie bụ n'elu-uwe; n'etiti nkwenye bụ n'etiti zuru ezu ị na-enweta site na ịgbakwunye na ịhapụ nkwenye site na nsonaazụ gị. 48% nsonaazụ na 3-point nkwenye na-enye nkwenye nkwenye nke 45% ruo 51%.
Ọ bụrụ na ọbụna ndị mmadụ ndị kasị ukwuu chọrọ ka ọbụna ndị kasị ukwuu n'ime nsogbu?
Ọ dịghị. Beyond a ole na ole puku mmadụ na ọnụ ọgụgụ nke ndị mmadụ size na-adịghị emetụta na margin - ihe dị mkpa bụ sample size. Ya mere a mba poll na obodo poll nwere ike ịkọrọ na margin na otu ọnụọgụ nke respondents.
Olee otú elu nghọta na-agbanwe n'ebe ahụ nke nsogbu?
Nhazi n'elu nke nkwenye na-eji nnukwu z*, nke na-ewebata mịrịba ama. Ntụgharị site na 95% (z* = 1.96) gaa 99% (z* = 2.576) na-ebelata mịrịba ama site na ihe dịka 31% maka saịmpọn ahụ.
API — jiri kaadị a site na kóòdù
Kpọọ kalkulata a dịka ebe ngwụcha JSON n'efu - enweghị kii achọrọ. Ziga valiu mpaghara ebe ahụ n'okpuru dịka paramita ajụjụ mọọbụ JSON. Gụọ ngwe ndị ahụ niile →
Ebemkpofuozi
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);Ihe a na-ahụta bụ n'ihi nlekọta n'ozuzu ya, ọ bụghị nlekọta ego, ọgwụ ma ọ bụ nlekọta ego.