Gaussian Number Generator

Generate random numbers following a normal (Gaussian) distribution. Perfect for statistical analysis, simulations, and modeling.

Distribution Parameters

Configure the normal distribution parameters

Center of the distribution

Spread of the distribution

Ready to generate Gaussian numbers?

Set your distribution parameters and click "Generate Numbers"

Gaussian Distribution Guide

Normal Distribution

Also known as Gaussian distribution, follows the bell curve pattern where 68% of values fall within 1σ, 95% within 2σ, and 99.7% within 3σ.

Statistical Metrics

Each number includes its Z-score (standard deviations from mean) and percentile rank in the distribution.

Outlier Filtering

Optional removal of extreme values beyond specified standard deviation thresholds for cleaner datasets.

Common Applications:

  • Statistical modeling
  • Monte Carlo simulations
  • Quality control
  • Scientific research
  • A/B testing
  • Risk analysis
  • Machine learning
  • Educational examples