Random Number Generator
Generate random numbers using different probability distributions including uniform, gaussian, and integer distributions
Results
About Random Number Distributions
Uniform Distribution: Every value between the minimum and maximum has an equal probability of being selected.
Gaussian (Normal) Distribution: Values are distributed according to a bell curve centered around the mean, with the standard deviation controlling the spread.
Integer Distribution: Generates whole numbers between the minimum and maximum values, with each integer having an equal probability.
Random Number Generator
Random number generation is a process used to generate a sequence of numbers that cannot be reasonably predicted better than by random chance. Random numbers are used in many fields including cryptography, statistical sampling, computer simulation, and completely randomized design.
Types of Random Number Distributions
Our random number generator supports multiple distribution types:
- Uniform Distribution: Every value between the minimum and maximum has an equal probability of being selected. This is useful when you need any value within a range to be equally likely.
- Gaussian (Normal) Distribution: Values are distributed according to a bell curve centered around the mean, with the standard deviation controlling the spread. This distribution is common in natural phenomena and statistical analysis.
- Integer Distribution: Generates whole numbers between the minimum and maximum values, with each integer having an equal probability. This is useful for simulating dice rolls, random selections, and other discrete random processes.
Applications of Random Numbers
Random numbers have numerous applications across various fields:
- Statistics: For sampling, bootstrapping, and Monte Carlo simulations
- Gaming: To create unpredictable outcomes in games of chance
- Cryptography: For generating encryption keys and secure tokens
- Scientific Research: For randomized controlled trials and experimental design
- Computer Simulations: To model random processes and natural phenomena
How to Use This Tool
To generate random numbers:
- Select the distribution type (Uniform, Gaussian, or Integer)
- Enter the number of values you want to generate
- Set the parameters for your chosen distribution
- Click "Generate Random Numbers"
- View the results and use the copy button to copy them to your clipboard