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Generator
Generate random numbers with various distributions
Execution
Fill in the form, run the tool, and review the result in one place.
Samples
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Tool usage guide
The Random Number Generator is a versatile tool designed to produce sequences of numbers based on specific statistical distributions, making it ideal for simulations, testing, and data analysis.
Background
Need to simulate a dataset of 100 student test scores that follow a normal distribution pattern.
Problem
Manually creating realistic, bell-curved data is time-consuming and prone to bias.
How to use
Select 'Normal (Gaussian) Distribution', set the count to 100, define the mean at 75, and set the standard deviation to 10.
Outcome
A list of 100 unique scores centered around 75, providing a realistic dataset for testing grading software.
Background
Need to generate a set of unique integer IDs for a prototype database.
Problem
Need a quick way to generate a batch of random integers within a specific range.
How to use
Select 'Integer Distribution', set the minimum to 1000, maximum to 9999, and count to 50.
Outcome
A list of 50 random four-digit integers ready to be used as placeholder IDs.
The tool supports Uniform, Normal (Gaussian), Exponential, Poisson, Binomial, and Integer distributions.
The tool is currently limited to generating up to 1000 values per request to ensure optimal performance.
The tool uses high-quality pseudo-random number generation algorithms suitable for most statistical and testing applications.
Uniform distribution ensures every number in a range has an equal chance of appearing, while Normal distribution clusters values around a specified mean.
No, this is a web-based utility that runs directly in your browser without requiring any installations.