Random Number Generator

Generate random numbers within your selected range.

No result to display. Please enter your values and calculate.

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About This Random Number Generator
Configure a range, choose integers or decimals, set how many values you need, and generate reproducible-looking random lists for problems, picks, or simulations. Includes range validation, uniqueness and sorting options, and quick copy.

How the Random Number Generator Works

The Random Number Generator creates one or more random values within a custom range using a flexible, easy-to-control interface. You can switch between integers and decimals, set how many results you want, enforce uniqueness (for integers), sort the output, and copy everything with a single click—ideal for practice problems, quick selections, and light simulations.

Inputs: Range, Mode, and Options

You stay fully in control of how numbers are generated:

  • Mode:
    • Integers – whole numbers between your min and max.
    • Decimals – real numbers rounded to your chosen decimal places.
  • Minimum & maximum: define the numeric range; max must be greater than or equal to min.
  • Quantity: how many random values to generate in a single batch.
  • Decimal places (decimal mode): how many digits to keep after the decimal point.
  • Unique only (integer mode): ensures all results in that batch are distinct; if you request more unique integers than exist in the range, a clear validation error appears.
  • Sort results: optional ascending sort; when off, numbers appear in the raw random order.
  • Generate and Clear buttons to create new sets or reset the configuration.

How Numbers Are Generated

Under the hood, the generator uses a pseudo-random source and then:

  • For integers, scales the random value into the inclusive [min, max] interval so each integer has (approximately) equal chance of being picked.
  • For decimals, samples in the continuous range, then rounds to the specified number of decimal places.
  • Applies uniqueness checks only where mathematically meaningful (integer mode).
  • Applies sorting only after generation so randomness is preserved but easier to read when desired.

Each click on Generate creates a fresh, independent batch; previous results do not influence new ones.

Outputs: Readable Lists & Quick Copy

The results section is optimized for both readability and reuse:

  • A short summary line confirms the mode, range, and count used.
  • Random values are displayed as a clean list or pill-style items.
  • A Copy results button lets you copy all numbers in comma-separated format for spreadsheets, code, or notes.
  • If configuration is invalid (e.g. max < min, impossible uniqueness), the generator shows clear instructions instead of partial or misleading output.

Scope, Assumptions & Limitations

For transparency and safety, this Random Number Generator:

  • Uses standard pseudo-random number generation suitable for educational and everyday use.
  • Is not cryptographically secure and should not be used for passwords, keys, lotteries, or regulated gambling.
  • Constrains extreme ranges and counts to keep the UI responsive.
  • Treats decimals as independent draws; uniqueness is not enforced for decimal mode due to rounding and continuous sampling.

Practical Use Cases & Educational Insight

Use this Random Number Generator to create practice problems, generate sample data, pick winners in small drawings, simulate dice or lottery-style draws (non-official), or demonstrate random sampling concepts in class. By exposing all inputs, options, and constraints clearly, it helps users see how controlled randomness works—without pretending to be a high-stakes security tool.

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