Nhazi
Chọta n'ụdị n'ụdị na n'ụdị n'ụdị maka uru na-adabaghị adaba.
Nhọrọ ndị ahụ ga-akpụzi mgbe ị na-etipụta.
N'ihe banyere calculator a
the standard-normal distribution, the probability density at x is the cumulative probability P(X ≤ x) (the area under the curve to the left), the right-tail probability P(X ≥ x) and the equivalent z-score. The calculator plots the curve and returns the probability density at x, the cumulative probability P(X ≤ x) (the area under the curve to the left), the right-tail probability P(X ≥ x) and the equivalent z-score. The calculator plots the curve.InterWorkWorked example: for a distribution with μ = 100 and σ = 15, the cumulative probability P(X ≤ x) is about 90.9% and the right-tail probability P(X ≥ x) is about 9.1%.The calculator plots the curve and returns the probability density.InterWorked example: for a distribution with μ = 100 and σ = 15, the cumulative probability P(X ≤ x) is about 90.9% and the right-tail probability P(X ≥ x) is about 9.1%.The calculator plots the curve and returns the standard-normal distributionInterWorked example: for a distribution with μ = 100 and σ = 15, the cumulative probability P(X ≤ x) is about 90.9% and the right-tail probability P(X ≥ x) is about 9.1%.The calculator plots the curve and plots the curve.InterWorkWorked example: for a distribution with μ = 100 and σ = 15, the cumulative probability P(X ≤ x) is about 90.9% and the right-tail probability P(X ≥ x) is about 9.1%.The calculator plots the curve and plots the curve.InterWorked example: for a distribution with μ = 100 and σ = 15, the cumulative probability P(X ≤ x) is about 90.9% and the right-tail probability P(X ≥ x) is about
Ajụjụ ndị a na-ajụkarị
Gịnị bụ ọdịiche dị n'etiti pdf na cdf?
N'ihe ize ndụ nke n'ime (pdf) bụ elu nke ngwe kurva na x; ọ bụghị n'ihe ize ndụ site n'onwe ya. N'ihe ize ndụ nke n'ime (cdf) bụ mpaghara ebe n'okpuru kurva ruo x, nke na-enye ihe ize ndụ nke valiu na mọọbụ n'okpuru x.
Gịnị mere ọbụna nke uru ziri ezi bụ sekọnd?
Maka n'ike n'ike dị ka nke na-emekarị, ọbụla n'otu n'otu n'ozuzu ya nwere sekọndị ọbụla - ọbụla n'ime n'ime ya nwere sekọndị ọbụla. Ya mere anyị na-agwa n'ozuzu ya na x na ebe n'ozuzu ya kama P(X = x).
Gịnị bụ iwu 68-95-99.7?
Maka n'ozuzu n'ozuzu, ihe dịka 68% nke uru dị n'ime otu standard deviation nke n'ozuzu, 95% n'ime abụọ na 99.7% n'ime atọ. Ọ bụ ụzọ dị mfe iji kpebie otú uru dị iche iche bụ na-enweghị ịkọ n'ebe dị n'ozuzu.
Olee otú m ga-esi hụ na ọ ga-ekwe omume n'etiti valiu abụọ?
Tinye válụ̀ ala dịka x na vàlụ̀ elu dịka x₂; kalkulata ahụ na-eziga P(x ≤ X ≤ x₂) site n'ịwepụ n'ótù n'ótù ala site n'otu n'ótù elu.
Gịnị bụ ọdịiche dị n'etiti nkịtị nchịkọta na nkịtị ntọala?
Nhazi nke n'ozuzu ya bụ n'ozuzu ya na-emeghe nke 0 na nhazi nke n'ozuzu ya nke 1. Igbanwe ọbụla valiu ka z-score ya mapụ ya na nhazi nke n'ozuzu ya, nke bụ otú a na-ehazi ihenhọrọ a maka ọbụla μ na σ.
Ịchọrọ ka data m bụrụ nke na-adabaghị adaba?
Enweghị data n'eziokwu bụ n'eziokwu, kama nsonaazụ bụ n'eziokwu mgbe data bụ n'ụzọ dị n'ụdị ịpị na symetric. Maka data nke a kpụgharịrị n'ụzọ dị ike mọọbụ nke nwere n'ụdị, ọbụna ọbụna data nke a kpụgharịrị n'ụzọ dị n'ụdị bụ n'ụdị n'ụdị.
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/normal-distribution/curl
curl "https://calculator.free/api/v1/normal-distribution/?x=120&mean=100&sd=15"JavaScript fetch()
const r = await fetch(
"https://calculator.free/api/v1/normal-distribution/?" + new URLSearchParams({
"x": "120",
"mean": "100",
"sd": "15"
}));
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.