I-Calculator yokusabalalisa okujwayelekile

Thola ubukhulu besimo sesimo kanye nesimo esiphelele sesimo se

Okukhethwa kukho. Shiya okungenalutho ukulinganisa inani elilodwa.
P(X ≤ x)
P(X ≥ x)
P(x ≤ X ≤ x₂)
Isilinganiso se-Z
Ubukhulu bokungafani

Iziphetho zivuselelwa uma ubhala.

Malunga nale khadi

the standard-normal distribution, the probability density at x is equal to the cumulative probability P(X ≤ x) (the area under the curve to the left). The right-tail probability P(X ≥ x) is equal to the equivalent z-score. The standard-normal distribution is the classic symmetric bell curve that describes heights, measurement errors, test scores and countless other natural quantities. Given a value x, a mean μ and a standard deviation σ, 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. The standard-normal distribution is equal to the standard-normal distribution.Worked example: The standard-normal distribution is the classic symmetric bell curve that describes heights, measurement errors, test scores and countless other natural quantities.Worked example: The standard-normal distribution is the classic symmetric bell distribution.Worked example: The standard-normal distribution is the classic symmetric bell distribution.Worked example: The standard-normal distribution is the classic symmetric bell distribution.Worked example: The standard-normal distribution is the classic symmetric bell distribution.Worked example: The standard-normal distribution is the classic symmetric bell distribution.Worked example: The standard-normal distribution is the classic symmetric bell distribution.Worked example: The standard-normal distribution is the classic symmetric bell distribution.Worked example: The standard-normal distribution is the classic symmetric bell distribution.Worked example: The standard-normal distribution is the classic symmetric bell distribution.Worked example: The standard-normal distribution is the classic symmetric bell distribution.Worked example: The standard-normal distribution is the classic symmetric bell distribution.Worked example: The standard-normal distribution is the classic symmetric bell distribution.Worked example: The standard-normal distribution is the classic symmetric bell distribution.Worked example: The standard-normal distribution is the classic symmetric bell distribution.Worked example: The standard-normal distribution is the classic symmetric bell distribution.Worked example: The standard-normal distribution is the classic symmetric bell distribution.Worked example: The standard-normal distribution is the classic

Imibuzo ebuzwa kaningi

Yini ushintsho phakathi kwe-pdf ne-cdf?

Ubukhulu besimo sesimo (pdf) yiphakamo ye-bell curve ku-x; akuyona isimo sesimo sesimo. Ukusabalalisa okuqotho (cdf) yindawo ngaphansi kwe-curve kuze kube yi-x, okunikeza isimo sesimo sexabiso ku-x noma ngaphansi kwayo.

Kungani ingozi yenani elifanele liyi zero?

Ukusabalalisa okuqhubekayo njengento ejwayelekile, noma yisiphi isiphetho esicacile sinomqondo ophansi - amabanga kuphela anengqondo engekho emthethweni. Lokhu kusho ukuthi sicela ubukhulu ku-x kanye nendawo eqoqiwe endaweni ye-P (X = x).

Yini imithetho ye-68-95-99.7?

Ukusabalalisa okujwayelekile, cishe i-68% yamaxabiso akhona ngaphakathi kwe-standard deviation eyodwa ye-mean, i-95% ngaphakathi kwe-2 ne-99.7% ngaphakathi kwe-3. Kuyindlela ekhawulelayo yokucabanga ukuthi ixabiso linjani ngaphandle kokubala indawo efanele.

Ngiyithola kanjani ingozi phakathi kwamaxabiso amabini?

Ngeza inani eliphansi njenge x nenani eliphezulu njenge x₂; i-calculator ibuyisela i-P(x ≤ X ≤ x₂) ngokususa i-cumulative probability engxenyeni ephansi kusuka kuleyo engxenyeni ephezulu.

Yini ushintsho phakathi kokuhlukaniswa okujwayelekile nesimo esijwayelekile?

Isilinganiso esijwayelekile siyisilinganiso sokusabalalisa esijwayelekile esiphakathi kuka-0 nesilinganiso sokungalingani ko-1. Ukushintsha noma yisiphi isilinganiso sibe yiz-z-score isiza isilinganiso esijwayelekile, okuwukuthi indlela le thuluzi elibala ngayo i-probability nganoma iyiphi i-μ ne-σ.

Ingabe idatha yami kufanele ibe ngempela ejwayelekile?

Akukho data ekhona ejwayelekile, kodwa izimpendulo zithembekile uma idatha ifana ne-bell futhi ilingana. Ku-data eqinile noma enzima-i-tailed, i-probability ilinganiselwe kuphela.

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API — sebenzisa le calculator kusuka kukhodi

Nquma le kalkuli njengendawo ephelezelwa i-JSON - akukho isitshixo esidingekayo. Thumela amaxabiso endawo ngezansi njengepharamitha yombuzo noma i-JSON. Funda i-API egcwele →

Ingxenye yendawo

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);

Izibalo ziyisilinganiso esisetshenziswa ukuqondisa kuphela, hhayi ukucebisa ngezimali, ukwelashwa noma ukukhokha.