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
True RNG (TRNG)
Uses physical phenomena like radiation or atmospheric noise
Used for cryptography
Pseudorandom (PRNG)
Uses mathematical algorithms with a seed value
Suitable for most applications
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