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ENGINEERING CALCULATORS

Probability, combinations & distributions calculator

Engineering calculators (Beta)

Calculate combinations, success/event counts and normal interval probabilities.

Inputs

Choose units and enter numbers. Full-width digits and fractions such as 1/8 or 1 3/8 are accepted. Changing a unit converts the entered value.

Results

Reference calculation only. Results do not certify suitability for an actual design or its safety.

Diagram

Inputs: select a blue symbol to edit Results: red-orange values and lines

Formula and applicability

Binomial P(k)=nCk p^k(1−p)^(n−k); Poisson P(k)=e^(−λ)λ^k/k!; normal interval=Φ((b−μ)/σ)−Φ((a−μ)/σ)

Displayed values are rounded. Diagrams illustrate the calculation conditions. Initial material and fluid properties are examples; replace them with values for the actual material, temperature and conditions.

Reference
Using this information as a reference

Equations assume particular loads, supports and deformation ranges. Check inputs, units and the applicability of each equation. Diagrams explain conditions; they are not manufacturing drawings or proof of safety.

Material values are typical values or reference ranges, not certified product properties or ready-to-use design allowables. They vary with standards, product form, dimensions, temper and temperature. Check the specifications and inspection certificates for the actual product.

Displayed safety factors and checks apply only to the supplied inputs and calculation model. They do not automatically establish the safety of a complete design, including code compliance, service life, fatigue or joints. For actual design, manufacture and use, separately verify applicable regulations and standards, product specifications, and the necessary tests and engineering review.

この計算で求められること

組合せ、成功回数、発生回数、正規分布の範囲確率を計算します。

入力・結果・適用条件を確認する

選択した形状・計算方法により、使う項目は変わります。実際の計算は上の図と入力欄で行えます。

主な入力

  • 計算する分布 (—)
  • 独立試行回数 n (—)
  • 成功・発生回数 k (—)
  • 1回の成功確率 p (% / fraction / ‰)
  • 区間内の平均発生回数 λ (—)
  • 平均 μ (—)
  • 標準偏差 σ (—)
  • 区間の下限 a (—)
  • 区間の上限 b (—)

得られる結果

  • ちょうどk回の確率 (%)
  • k回以下の確率 (%)
  • k回以上の確率 (%)
  • 組合せ nCk (—)
  • 順列 nPk(大きすぎる場合—) (—)
  • a以上b以下の確率 (%)

計算式の概要

Binomial P(k)=nCk p^k(1−p)^(n−k); Poisson P(k)=e^(−λ)λ^k/k!; normal interval=Φ((b−μ)/σ)−Φ((a−μ)/σ)

二項分布は独立・同じ成功確率。Poissonは一定発生率の独立事象。n≤1000、k≤1000、λ≤700。大きな組合せ・順列は浮動小数点近似です。正規分布は連続変数で、範囲確率は数値近似です。極端な裾では丸め・桁落ちが起きます。

現在選択中の方法には、操作欄の「計算式・適用条件」を使ってください。参考計算であり、設計全体の安全性を保証するものではありません。

関連する計算

What this calculator does

Calculate combinations, success/event counts and normal interval probabilities.

Inputs, outputs and applicability

The selected model determines which of these inputs and outputs apply. Use the working diagram and input panel above to calculate.

Inputs

  • Distribution (—)
  • Independent trials n (—)
  • Success / event count k (—)
  • Per-trial success probability p (% / fraction / ‰)
  • Mean event count λ (—)
  • Mean μ (—)
  • Standard deviation σ (—)
  • Lower interval a (—)
  • Upper interval b (—)

Calculated results

  • Probability of exactly k (%)
  • Probability of at most k (%)
  • Probability of at least k (%)
  • Combinations n choose k (—)
  • Permutations nPk (— if too large) (—)
  • Probability in [a, b] (%)

Formula overview

Binomial P(k)=nCk p^k(1−p)^(n−k); Poisson P(k)=e^(−λ)λ^k/k!; normal interval=Φ((b−μ)/σ)−Φ((a−μ)/σ)

Binomial assumes independent equal-probability trials; Poisson assumes independent events at a constant rate. n ≤ 1000, k ≤ 1000, λ ≤ 700. Large combinatorial counts use floating-point approximation. Normal interval probability is a numerical approximation for continuous values; extreme tails are affected by rounding/cancellation.

The displayed formula and conditions in the working panel apply to the currently selected model. Reference calculation only; it does not certify a complete design.

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