Kalkulator gęstości rozkładu normalnego (PDF)
Oblicz gęstość prawdopodobieństwa rozkładu normalnego w punkcie.
Harmonogram spłat
| # | Płatność | Kapitał | Odsetki | Saldo |
|---|---|---|---|---|
Wyświetlanie pierwszych 12 z miesięcy.
Wzrost w czasie
| Rok | Zainwestowano | Wartość |
|---|---|---|
Wprowadzenie
Normal PDF Calculator — Compute the normal distribution probability density at a point. Enter Value (x), Mean (μ), Std. deviation (σ) to get an instant, accurate result.
Wzór
Normal probability density function: f(x) = (1 / (σ√(2π))) × e^(−(x−mean)² / (2σ²)).
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 PDF Calculator gives Pdf: 0.3989.
Często Zadawane Pytania
Does the PDF value give a probability?
No — for a continuous distribution the PDF gives a density, not a probability; probabilities come from the area under the curve (the CDF) over a range.
What does the shape of the curve depend on?
The mean shifts the curve's center left or right, while the standard deviation controls how wide or narrow (spread out) the curve is.
What inputs does the Normal PDF Calculator need?
You'll need to provide: Value (x), Mean (μ), Std. deviation (σ). All fields use sensible defaults, so you can see a working example immediately and then adjust the values to match your own numbers.
How accurate is the Normal PDF Calculator?
The Normal PDF Calculator applies the formula exactly as calculated — Normal probability density function: f(x) = (1 / (σ√(2π))) × e^(−(x−mean)² / (2σ²)). — so results are precise for the inputs you provide. Accuracy depends on entering correct, realistic input values.
Is the Normal PDF Calculator free to use?
Yes, the Normal PDF Calculator is completely free, requires no signup, and runs instantly in your browser.
O Kalkulator gęstości rozkładu normalnego (PDF)
The Normal PDF Calculator uses a real, verifiable formula — Normal probability density function: f(x) = (1 / (σ√(2π))) × e^(−(x−mean)² / (2σ²)). — so results are accurate every time, not an approximation.