Calculadora de PDF normal
Calcule a densidade de probabilidade da distribuição normal em um ponto.
Tabela de amortização
| # | Pagamento | Principal | Juros | Saldo |
|---|---|---|---|---|
Mostrando os primeiros 12 de meses.
Crescimento ao longo do tempo
| Ano | Investido | Valor |
|---|---|---|
Introdução
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.
Fórmula
Normal probability density function: f(x) = (1 / (σ√(2π))) × e^(−(x−mean)² / (2σ²)).
Passo a passo
- Enter the Value (x).
- Enter the Mean (μ).
- Enter the Std. deviation (σ).
- Click Calculate to see your result instantly.
Exemplo do mundo real
Example: With Value (x) = 0, Mean (μ) = 0, Std. deviation (σ) = 1, the Normal PDF Calculator gives Pdf: 0.3989.
Perguntas Frequentes
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.
Sobre a Calculadora de PDF normal
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.