Gaussian Random Number Generator

What Gaussian Random Number Generator does

Generate values following an approximate normal distribution with a selected mean and standard deviation.

Worked example

How values are generated

Uniform browser random values are transformed with a normal-distribution method such as Box–Muller, then scaled and shifted.

Useful workflows

• Create disposable fixtures for forms, tables and software tests.
• Randomize a list or demonstration without uploading the source entries.
• Generate a small sample before requesting a large output.

Limits and safety checks

• Ordinary random output must not be used for gambling, regulated drawings or high-stakes allocation.
• Generated names, addresses, phones and emails are fictional and may accidentally resemble real data.
• Only tools explicitly using a cryptographically secure source are suitable for passwords or security tokens.

Frequently asked questions

Can I reproduce the same result?

Not unless the tool offers a deterministic seed. Copy or download the generated result you want to retain.

Does random mean every small sample is evenly balanced?

No. Equal probability describes repeated trials; a short sample can contain clusters or an uneven count.