Kalkulator Probabilitas Binomial
Ing jaman iki, dhèwèké dadi juru main ing tim nasional.
Hasil dioptimalake nalika sampeyan ngetik.
Ngendi kalkulator iki
the binomial distribution, the probability of exactly k successes is equal to the probability of at least k successes. The binomial probability calculator uses the binomial distribution to model the number of successes in a fixed number of independent trials, each with the same success probability — the classic "how many heads in ten coin flips" problem. It returns the probability of exactly k successes, P(X = k) = C(n, k)·pᵏ·(1 − p)ⁿ⁻ᵏ), along with the cumulative probabilities of at most k and at least k successes. The binomial probability calculator uses the binomial distribution to model the number of successesTheWorked example:The term C(n, k) is the number of ways to choose which k of the n trials succeed, pᵏ is the chance those k succeed and (1 − p)ⁿ⁻ᵏ the chance the rest fail. The term C(n, k) is the probability of the success.The term C(n, k) is the probability of the success of the trial.The term C(n, k) is the probability of the success of the trial.The term C(n, k) is the probability of the success of the trial.The term C(n, k) is the probability of the success of the trial.The term C(n, k) is the probability of the success of the trial.The term C(n, k) is the probability of the success of the trial.The term C(n, k) is the probability of the success of the trial.The term C(n, k) is the probability of the success of the trial.The term C(n, k) is the probability of the success of the trial.The term C(n, k) is the probability of the success of the trial.The term C(n, k) is the probability of the success of the trial.The term C(n, k) is the probability of the success of the trial.The term C(n, k) is the probability of the success of the trial.The term C(n, k) is the probability of the success of the trial.The term C(n, k
Takon kang asring diajukake
Nalika aku bisa nggunakake distribusi binomial?
Sawisé iku, dhèwèké banjur dadi juru main kang paling apik ing donya, lan bisa menang 10 gelar (kajaba ing taun 2000 nalika dhèwèké kalah ing final).
Apa bedane antarané P(X = k) lan P(X ≤ k)?
P(X = k) ya iku kamungkinan saka persis k sukses, nalika P(X ≤ k) nambahi kamungkinan saka 0, 1,... nganti k sukses. Versi kumulatif mangsuli pitakon kaya "apa kamungkinan saka paling ora3sukses?"
Apa tegesé "n milih k"?
C( n, k), maca "n pilih k", iku jumlah cara kang béda kanggo milih k saka n percobaan kang sukses. Kanggo 10 percobaan lan3suksès ana C( 10, 3) = 120 kombinasi kaya mangkono, lan saben kontribusi kanggo probabilitas total.
Apa kang dadi rata-rata lan standar deviasi saka distribusi binomial?
Rata-rata (kanggo jumlah sukses kang dikira) ya iku n·p lan varians ya iku n·p·(1 − p), mula standar deviasi ya iku √(n·p·(1 − p)). Kanggo 10 koin kang bener rata-rata ya iku5lan standar deviasi ya iku 1.58.
Nalika kula saged ngrekam binomial kaliyan distribusi normal?
Nalika n ageng lan kalih n·p lan n·(1 − p) paling ora kirang langkung 10, binomial punika dipun-aproksimasi kanthi saé déning distribusi normal kaliyan rata-rata lan standar deviasi ingkang sami.
Kepiye carane aku nemokake probabilitas paling ora k sukses?
P(X ≥ k) nggabungaken probabilitas k, k+1,... dumugi n sukses. punika sami kaliyan 1 − P(X ≤ k − 1), lan kalkulator probabilitas binomial punika nglaporaken langsung kaliyan nilai "at most".
API — gunakake kalkulator iki saka kode
Panggenan kalkulator iki minangka titik pungkasan JSON gratis - ora ana kunci sing dibutuhaké. Kirimi nilai medan ing ngisor iki minangka parameter pitakonan utawa JSON. Waca dokumen API lengkap →
Titik pungkasan
GET https://calculator.free/api/v1/binomial-probability/curl
curl "https://calculator.free/api/v1/binomial-probability/?n=10&k=3&p=50"JavaScript fetch()
const r = await fetch(
"https://calculator.free/api/v1/binomial-probability/?" + new URLSearchParams({
"n": "10",
"k": "3",
"p": "50"
}));
const data = await r.json();
console.log(data.results);Kajaba iku, ana uga sing ora bisa gawé gawéan, kaya ta dokter, insinyur, lan liya-liyané.