Kalkulator dystrybuanty normalnej (CDF)
Oblicz prawdopodobieństwo skumulowane rozkładu normalnego.
Harmonogram spłat
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Wzrost w czasie
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Wprowadzenie
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.
Wzór
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.
Krok po kroku
- Enter the Value (x).
- Enter the Mean (μ).
- Enter the Std. deviation (σ).
- Click Calculate to see your result instantly.
Przykład z życia
Example: With Value (x) = 0, Mean (μ) = 0, Std. deviation (σ) = 1, the Normal CDF Calculator gives Cdf: 0.5.
Często Zadawane Pytania
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?
O Kalkulator dystrybuanty normalnej (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.