Gaussian RNG
Generate normally distributed random numbers using the Box-Muller transform with custom mean and standard deviation.
Generator Options
The average value or center of the distribution.
The spread of the bell curve. Higher value = wider spread.
Distribution
Raw Data Output
Professional Gaussian RNG for Everyone
An advanced statistical utility for generating random numbers that follow a normal (Gaussian) distribution. Utilizing the Box-Muller transform algorithm, this tool allows you to specify a custom mean (μ) and standard deviation (σ). It's an essential online calculator for data scientists, statisticians, and developers needing realistic, normally distributed sample sets for simulations, testing, or statistical modeling. Generate single values or bulk datasets instantly in your browser without any server-side processing.
Key Benefits
Why choose our Gaussian RNG for your workflow?
Accurate Modeling: Perfect for simulating real-world phenomena.
Visual Feedback: Built-in histograms let you verify the distribution shape immediately.
Fast & Secure: No data is sent to external servers.
Common Use Cases
Real-world examples of how to use this tool.
Data Science: Creating mock datasets for machine learning models.
Game Development: Procedurally generating natural-feeling random events.
Statistics: Teaching or testing normal distribution theories.
How to use Gaussian RNG?
Follow these simple steps to get the best results.
Enter your desired Mean (average value).
Enter your desired Standard Deviation (spread of the curve).
Specify how many numbers you wish to generate.
Click 'Generate' to create the dataset and view the histogram distribution.
Frequently Asked Questions
Common questions about our Gaussian RNG tool.
What algorithm does this use?
This tool uses the Box-Muller transform, a pseudo-random number sampling method for generating pairs of independent, standard, normally distributed random numbers.
Can I generate a large dataset?
Yes, you can generate up to 10,000 numbers at a time and export them as a CSV file.
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