Kalkulator na Binomial Probability

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P(X = k) —
P(X ≤ k) —
P(X ≥ k) —
Median (n·p) —
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Standard deviation —

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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 successes.TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:TheWorked example:The

Tambayoyi da ake yi da yawa

QSoftKeyManager

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Mẽne ne bambanci a tsakãnin P(X = k) da P(X ≤ k)?

P(X = k) shine yiwuwar k nasara, yayin da P(X ≤ k) ke ƙara yiwuwar 0, 1,... har zuwa k nasara. Nau'in cumulative na amsa tambayoyi kamar "Mene ne yiwuwar mafi yawan 3 nasara?"

Me ya sa "n zaɓi k"?

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Mece ce ma'ana da kuma tabbataccen ɓacewa na rarraba binomiyya?

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Yaushe zan iya kusantar da binominal da wani rarraba na al'ada?

Idan n ya fi girma kuma n·p da n·(1 − p) duka sun fi kusan 10, to, an yi daidaita binominal ɗin da wani rarraba na al'ada tare da daidaitattun matsakaicin da kuma daidaitattun rarrabawa. Wannan shi ne tushe na gwajin rarrabawa masu yawa na girma.

Ta yaya zan samu yiwuwar k nasara?

P(X ≥ k) na hada yiwuwar k, k+1,... har zuwa nasara n. Yana daidai da 1 − P(X ≤ k − 1), kuma wannan Kalkulata na yiwuwar binomial na nuna shi kai tsaye tare da kimar "a mafi yawan"

QSoftKeyManager

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QDialogButtonBox

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);

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