Random Number Generator – Frequently Asked Questions

The generator uses JavaScript's Math.random() function, which produces a floating-point number between 0 and 1. That value is scaled to your chosen range and rounded to an integer. This is a pseudorandom number generator — sufficient for games, raffles, classroom activities, and most everyday uses. For cryptographic security (lottery draws, gambling), you'd need a hardware random number source, which browser RNG is not.

You can set any minimum and maximum value. The most common range is 1–100 for classroom cold-calling and probability exercises. Lottery-style uses typically run 1–49 or 1–60. There's no restriction on large numbers — generating from 1 to 1,000,000 works the same as 1 to 10. Negative minimum values are also supported if you need a range like -50 to 50.

Yes. Set the quantity to generate and click the button — the tool produces all results simultaneously. If you need unique numbers (no repeats), enable the No Duplicates option. This is useful for raffle draws where picking the same ticket number twice would be invalid. With duplicates allowed, each number is drawn independently regardless of previous results.

By default, yes — each number is generated independently, so repeats are possible. Turn on the No Duplicates toggle to prevent this. Note that with duplicates off, you can't request more numbers than the size of your range. For example, if your range is 1–10 and you ask for 15 unique numbers, that's mathematically impossible and the tool will cap at 10.

Yes — teachers use it most often for cold-calling students by number, demonstrating probability concepts, and running fair in-class raffles. For probability lessons, generating 100 numbers from 1–6 (simulating dice rolls) and recording the distribution is a common activity. The generator runs fast enough to do this live during class without any setup.

Yes, with the caveat that it's browser-based pseudorandom generation. For informal office raffles and classroom draws, this is perfectly appropriate. For official lottery draws or events with legal requirements for certified randomness, you'd need a formally audited random number source. Most casual use cases — picking a raffle winner from 1 to 50, selecting a random prize recipient — work well here.

The results are shown on screen during your session. The page doesn't store anything on a server. If you need to keep a record of generated numbers, copy and paste the results before closing the page. The history clears when you reload or close the browser.

Yes — generating large batches of numbers from a fixed range and recording the distribution is a hands-on way to demonstrate probability. Generate 100 numbers from 1–6 (simulating 100 dice rolls) and count how many times each number appears. The distribution should approach 16–17 occurrences per number. This takes about 30 seconds with the tool versus physically rolling dice 100 times.