Random Number Generator
Generate random numbers within your specified range
What is Random Number Generation?
Random number generation is the process of producing a sequence of numbers that cannot be predicted better than by random chance. This calculator uses a pseudorandom number generator (PRNG), which creates numbers that appear random and are suitable for most everyday uses.
Random(1, 100) → ?
Each number in the range has an equal probability of being selected
Practical Applications
Gaming & Lottery
- • Lottery number selection
- • Dice roll simulation
- • Random team assignments
- • Prize giveaway selections
Testing & Development
- • Test data generation
- • Random sampling
- • Monte Carlo simulations
- • Load testing scenarios
Decision Making
- • Random order selection
- • Unbiased choices
- • Survey randomization
- • Statistical sampling
Security & Cryptography
- • Session ID generation
- • Random salt values
- • Nonce generation
- • Authentication codes
Common Examples
Dice Roll (1-6)Min: 1, Max: 6
Simulates a standard six-sided die roll
Lottery (1-49)Min: 1, Max: 49, Count: 6
Generate 6 random lottery numbers from 1 to 49
Percentage (0-100)Min: 0, Max: 100
Random percentage value for probability simulations
Uniform Distribution
Random number generators use a uniform distribution, meaning every number in the range has an equal chance of being selected.
1
Equal Probability
2
Equal Probability
...
Equal Probability
N
Equal Probability
Each number has probability = 1 / (max - min + 1)
💡 Tips for Best Results
- ▸Uniqueness: Numbers may repeat - if you need unique numbers, generate more than needed and filter
- ▸Range: Larger ranges provide more variation in results
- ▸Cryptography: For security-critical applications, use dedicated cryptographic RNG libraries
- ▸Testing: Great for generating test data, but use fixed seeds for reproducible tests