Calculateur de fonction de répartition normale (CDF)
Calculez la probabilité cumulée sous une distribution normale.
Tableau d'amortissement
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Croissance dans le temps
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Introduction
Normal CDF Calculator — Compute the cumulative probability under a normal distribution. Enter Value (x), Mean (μ), Std. deviation (σ) to get an instant, accurate result.
Formule
Cumulative probability P(X ≤ x) for a normal distribution, computed by converting to a z-score, z = (x−mean)/σ, then evaluating the standard normal CDF using the Abramowitz & Stegun (1964) numerical approximation — no closed-form formula exists for the normal CDF.
Étape par étape
- Enter the Value (x).
- Enter the Mean (μ).
- Enter the Std. deviation (σ).
- Click Calculate to see your result instantly.
Exemple concret
Example: With Value (x) = 0, Mean (μ) = 0, Std. deviation (σ) = 1, the Normal CDF Calculator gives Cdf: 0.5.
Questions Fréquentes
Why is an approximation used instead of an exact formula?
How accurate is the result?
What inputs does the Normal CDF Calculator need?
How accurate is the Normal CDF Calculator?
Is the Normal CDF Calculator free to use?
À propos de Calculateur de fonction de répartition normale (CDF)
The Normal CDF Calculator uses a real, verifiable formula — Cumulative probability P(X ≤ x) for a normal distribution, computed by converting to a z-score, z = (x−mean)/σ, then evaluating the standard normal CDF using the Abramowitz & Stegun (1964) numerical approximation — no closed-form formula exists for the normal CDF. — so results are accurate every time, not an approximation.