Random Number Generator
Generate random numbers between any min and max. Choose how many numbers and decimal places. Perfect for statistics, games, and sampling.
Random Numbers
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Extended More scenarios, charts & detailed breakdown ▾
Random Integers
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Professional Full parameters & maximum detail ▾
Generated Numbers
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Statistics
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How to Use This Calculator
Set the Minimum and Maximum values, choose How Many Numbers to generate (up to 20), and set Decimal Places (0 for integers). Click Calculate to generate a new set.
Formula
Random = Math.random() × (max − min) + min, rounded to specified decimal places
Example
Min=1, Max=10, Count=5, Decimals=0 → e.g. 3, 7, 1, 9, 5
Frequently Asked Questions
- The numbers are pseudorandom, generated by your browser's built-in Math.random() function, which uses a deterministic algorithm seeded from system state. They pass statistical tests for randomness and are suitable for simulations, games, sampling, raffles, and educational purposes. However, they are not cryptographically secure — do not use them for password generation, key material, or security-sensitive applications. For those purposes, use a cryptographically secure random number generator (CSPRNG) such as window.crypto.getRandomValues().
- The calculator generates up to 20 numbers in a single batch. For larger data sets, simply click Calculate multiple times and combine the results. Each click produces an entirely new set of random numbers drawn independently from the same distribution. If you need a very large sample for statistical work, a spreadsheet tool (like Excel's RAND() or RANDBETWEEN() functions) or a programming language such as Python (using the random module) would be more efficient for bulk generation.
- Yes — set the Decimal Places field to any value from 1 to 6. For example, with Min=0, Max=1, and Decimal Places=4, you will get random values like 0.3748, 0.9123, 0.0041. Setting Decimal Places to 0 (the default) generates whole integers. Generating random decimals between 0 and 1 is useful for Monte Carlo simulations, probability experiments, and random sampling with arbitrary precision.
- Yes — set Min to any negative value. For example, Min=−100 and Max=100 generates numbers uniformly distributed across the full range from −100 to +100, including negative values, zero, and positives. Min=−50 and Max=50 with Decimal Places=2 would give random values like −37.24, 12.09, −0.55. The only constraint is that Min must be less than or equal to Max.
- The sum and average of the generated set are displayed automatically to help you quickly verify the output or use the results without opening a separate calculator. For a uniform distribution between Min and Max, the theoretical expected average is (Min + Max) / 2. If you generate 5 numbers between 1 and 10, the expected average is 5.5 — your actual average will vary each time due to randomness, but should cluster near 5.5 as you generate more numbers.