Kalkulatè distribisyon nòmal
Chwazi yon valè.
Rezilta yo mete ajou pandan w ap ekri.
Atik sa 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, and plots the curve. This calculator 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, and plots the curve.InternallyWorked example: for a distribution with μ = 100 and σ = 15, a value of x = 120 has a z-score of about 90.9% and the right tail P(X ≥ 120) about 9.1%. This tool behind the empirical 68–95–99.7 rule.InternallyWorked example: for a distribution with μ = 100 and σ = 15, a value of x = 120 has a z-score of about 90.9% and the right tail P(X ≥ 120) about 9.1%.InternallyWorked example: for a distribution with μ = 100Worked example: for a distribution with μ = 100 and σ = 15Worked example: for a distribution with μ = 100Worked example: for a distribution with μ = 100 and σ = 15Worked example: for a distribution with μ = 100Worked example: for a distribution with μ = 100 and σ = 15Worked example: for a distribution with μ = 100Worked example: for a distribution with μ = 100Worked example: for a distribution with μ = 100Worked example: for a distribution with μ = 100Worked example: for a distribution with μ = 100Worked example: for a distribution with μ = 100Worked example: for a distribution with μ = 100Worked example: for a distribution
Kesyon ki poze souvan
Ki sa ki se diferans ki genyen ant pdf ak cdf?
Densite pwobablite (pdf) se wotè kurva a nan x; li pa yon pwobablite nan tèt li. Distribisyon kumulatif (cdf) se zòn anba kurva a jiska x, ki bay pwobablite yon valè nan oswa anba x.
Poukisa se pwobabilite yon valè egzak zewo?
Pou yon distribisyon kontinyèl tankou sa a, nenpòt pwen egzak gen pwobabilite zewo — se sèlman yon seri ki gen pwobabilite ki pa zewo. Se poutèt sa nou rapòte densite a nan x ak zòn kumulatif la piske P(X = x).
Ki sa ki se règleman 68-95-99.7?
Pou yon distribisyon nòmal, anviwon 68% nan valè yo chita nan yon deviation estanda nan mwayèn, 95% nan deviation estanda nan de ak 99.7% nan deviation estanda nan twa. Li se yon fason rapid pou jugement kijan inhabituelle yon valè se san yo pa konpile zòn egzak la.
Kijan pou m jwenn pwobablite ant de valè?
Entre valè pi ba a kòm x ak valè pi wo a kòm x₂; Kalkulatè a pral retounen P(x ≤ X ≤ x₂) pa soustraksyon pwobablite kumulatif nan pwen pi ba a soti nan youn nan pwen pi wo a.
Ki diferans ki genyen ant distribisyon nòmal ak distribisyon nòmal estandard?
Normal standard la se sèlman distribisyon normal ak yon mwayèn de 0 ak yon deviation standard de 1. Konvèti nenpòt valè nan z-score li a map li sou normal standard la, ki se jan zouti sa a konpile pwobablite pou nenpòt μ ak σ.
Èske done mwen yo dwe konplètman nòmal?
Pa gen okenn done reyèl ki nòmal, men rezilta yo fiab lè done yo gen fòm klozèt ak simetrik. Pou done ki gen gwo deformation oswa ki gen gwo kou, pwobablite yo se sèlman approximatif.
API — itilize sa a calculateur soti nan kòd
Apèl sa a calculateur kòm yon gratis JSON pwent-de-fini - pa gen okenn kle ki nesesè. Envoye valè jaden anba a kòm paramèt kesyonè oswa JSON. Li dokiman API a an antye →
Endpoint
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);Rezilta yo se estimasyon pou kòmandman jeneral sèlman, pa finansye, medikal oswa konsèy taks.