About Random Numbers

Random numbers are values generated by a process whose outcome is unpredictable, and which cannot be reliably reproduced.

Applications of Random Numbers

• Statistics: For sampling, simulations, and bootstrapping
• Cryptography: For generating encryption keys and secure passwords
• Gaming: For dice rolls, card shuffling, and game mechanics
• Scientific Research: For randomized controlled trials and Monte Carlo methods
• Computer Science: For randomized algorithms and testing

Types of Random Number Generators

True Random Number Generators (TRNGs): Generate random numbers from a physical process, not a computer algorithm. Examples include atmospheric noise, radioactive decay, or thermal noise.

Pseudo-Random Number Generators (PRNGs): Use algorithms to generate sequences of numbers that approximate true randomness. They're deterministic but designed to pass statistical tests for randomness.

How to Use This Generator

1. Enter the lower limit of your desired range
2. Enter the upper limit of your desired range
3. Click the "Generate" button to get a random number
4. The result will appear in the result box

This generator uses JavaScript's Math.random() function combined with additional algorithms to handle large ranges and ensure uniform distribution.