Generate random integers or decimal numbers within a custom range.
A random number is a number selected from a defined range in such a way that no predictable pattern can be identified. Each possible value has an equal chance of being chosen, and previous results do not influence future outcomes.
Random numbers are typically independent of one another, meaning the selection of one number does not affect the next. In many applications, values are evenly distributed across the chosen range.
Some naturally occurring values follow specific distributions. For example, human height tends to follow a normal distribution, where values near the average occur more frequently than extreme values.
A random number generator is a system or tool that produces one or more random values within a specified range. RNGs can be hardware-based or algorithm-based.
Hardware random number generators rely on physical processes such as dice rolls, coin flips, atmospheric noise, or electronic thermal noise. These methods can produce truly random results.
Pseudo-random number generators (PRNGs) use mathematical algorithms to generate sequences that appear random. Most computer-based random number generators, including this one, are PRNGs.
Pseudo-random numbers are not truly random, as they are generated using deterministic algorithms. However, they are sufficiently unpredictable for most everyday applications such as games, simulations, and general calculations.
For security-critical tasks like encryption, cryptographically secure random number generators based on physical randomness are required.
Yes. Unless explicitly restricted, random numbers may repeat, since each selection is independent.
Well-designed generators distribute values evenly across the specified range, making them fair for most uses.
No. This generator is suitable for general purposes but not for cryptographic or security-sensitive applications.
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