Numbers & statistics

Draw numbers, explore probability, and generate repeatable samples for lessons and testing.

Tools in this category

7 tools

Random numbers

One number or several at once.

Normal distribution generator

Generate Gaussian samples with a chosen mean, standard deviation and seed. Inspect a histogram and summary, then export CSV, JSON or JSONL.

Discrete distribution generator

Sample Bernoulli, binomial, Poisson or custom weighted outcomes. Set parameters and a seed, inspect frequencies and export every observation.

Probability simulator

Run seeded coin, die or weighted-outcome experiments. Compare observed counts with expected counts and export the trial sequence and report.

Dice roller

A quick roll for game night.

Coin flip

Heads or tails. Let chance choose.

Lottery number picker

Pick numbers for lotteries around the world.

A quick draw or a repeatable experiment?

For a quick draw, start with Random numbers: choose an inclusive integer range, request up to 500 values, and decide whether repeats are allowed. Use dice and coin flips for simple game outcomes. The probability simulator compares observed results with the chances you set. Normal and discrete distribution generators create samples from a stated model, using a seed you can repeat. Lottery presets have their own selection rules and explanations of winning probabilities.

Why do some tools have a seed?

A seed helps you repeat an experiment with the same settings and generator version. The statistics tools use this for teaching and testing. Everyday draws use browser cryptographic randomness instead. A repeatable sample is useful for comparing code changes; it is not intended for passwords or unpredictable prize draws.