Random Number Generator

Generate pseudorandom numbers with customizable ranges, types, and options for statistical analysis

Random Number Generator

Generator Options

Common Use Cases

Dice Roll Simulation

Min: 1, Max: 6, Integers only

Lottery Numbers

Min: 1, Max: 49, 6 numbers, no duplicates

Random Percentage

Min: 0, Max: 100, 2 decimal places

PIN Generator

Min: 1000, Max: 9999, Integers

Types of Random Number Generators

T

True RNG (TRNG)

Uses physical phenomena like radiation or atmospheric noise

Used for cryptography

P

Pseudorandom (PRNG)

Uses mathematical algorithms with a seed value

Suitable for most applications

H

Hardware RNG

Dedicated hardware for random generation

High-security applications

Random Number Tips

This generator uses pseudorandom algorithms (Math.random())

Results are reproducible if you use the same seed

Perfect for simulations, games, and statistical sampling

Not suitable for cryptographic purposes

Understanding Random Number Generation

What is RNG?

A Random Number Generator (RNG) is a device or algorithm that produces a sequence of numbers that cannot be reasonably predicted. Each outcome should have the same probability of being chosen.

How It Works

  • Pseudorandom: Uses mathematical formulas with seed values
  • Algorithm: Most browsers use xorshift128+ algorithm
  • Seeding: Uses current time or other entropy sources
  • Distribution: Uniform distribution within specified range

Applications

Gaming & Simulations

Dice rolls, card shuffling, character generation

Statistical Sampling

Research studies, A/B testing, quality control

Security Testing

Password generation, test data creation

Mathematical Modeling

Monte Carlo methods, chaos theory

Technical Details

Uniform Distribution

Every number in the range has equal probability of selection

Period Length

How many numbers before the sequence repeats

Statistical Tests

Algorithms are tested for randomness quality