QuantomLab

Normal Distribution Calculator

Compute cumulative probability using the Gaussian distribution.

💡 Enter mean, standard deviation, and a value. The calculator returns P(X ≤ x).

Probability (P ≤ x):

Internally converts the value to a Z-score and applies the cumulative distribution function (CDF).

Example 1

μ = 100 σ = 15 x = 115 Z = (115 − 100) / 15 = 1 P(X ≤ 115) ≈ 0.8413 (84.13%)

Example 2 (Extreme Value)

μ = 50 σ = 5 x = 65 Z = 3 P(X ≤ 65) ≈ 0.9987 (99.87%)

Formula

Z = (x − μ) / σ CDF = 0.5 × [1 + erf(Z / √2)]

The error function (erf) approximates the cumulative probability.

What does this calculator do?

It computes cumulative probability under a normal distribution using mean and standard deviation.

When should you use normal distribution?

Normal distribution models natural phenomena, measurement errors, test scores, and financial variables.

Frequently Asked Questions

What is a normal distribution?

A symmetric, bell-shaped probability distribution.

Is this related to Z-score?

Yes. The calculator converts the value to a Z-score before computing probability.

Can probabilities exceed 1?

No. Probabilities always range between 0 and 1.

Can I calculate probability between two values?

Not yet. This version calculates P(X ≤ x). A range version can be added later.