Q: Are the generated numbers truly random?
The generator uses the Web Crypto API (crypto.getRandomValues) for cryptographically secure random number generation. This provides much higher quality randomness than Math.random() and is suitable for applications requiring unpredictable values.
Q: Can I generate numbers within a specific range?
Yes, you can specify both minimum and maximum values to define your desired range. The generator produces uniformly distributed random numbers within the specified bounds, including both endpoints.
Q: Can I generate multiple random numbers at once?
Yes, you can configure the quantity of random numbers to generate in a single batch. This is useful for creating test datasets, lottery picks, or statistical samples without repeatedly clicking the generate button.
Q: Are the generated numbers suitable for cryptographic purposes?
While the underlying random source is cryptographically secure, a dedicated cryptographic library is recommended for security-critical applications like key generation or nonce creation. This tool is ideal for general-purpose random number needs.
Q: What is the difference between uniform and normal distribution?
Uniform distribution means every number in the range has an equal probability of being selected. This tool generates uniformly distributed random numbers, so getting 1 is just as likely as getting 999 within a 1-1000 range. Normal (Gaussian) distribution clusters values around the mean, forming a bell curve. For statistical simulations requiring normal distribution, post-process uniform values using the Box-Muller transform.