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## Random Number Selection - How to use min and max for different combinations

- You can use this use as random pick generator, random text number, random selector, random number generator, random ids by just adjusting the min and max value appropriately.
- Text Number Generator - to generate a text number or string number of length 3, set min as 100 and max as 999
- Pick a Number Generator - To pick a number between 1 and 30, set min as 1 and max as 30
- Number List Generator - To use as random number list generator, set the 'How many' to the required number. For eg to get 4 random numbers, set the count to 4
- Random Integer Generator - You can set Integer ranges from -2147483647 to 2147483647

Scenario | Min (inclusive) | Max (inclusive) | Your Random Number is |
---|---|---|---|

## Random Text Number with length 5 | 10000 | 99999 | 66503 |

## Random Text Number with length 8 to 10 | 10000000 | 9999999999 | 7096578805 |

## Pick a number between 1 and 2, Random number between 1 and 2, Random number 1 to 2, Pick a number between one and two | 1 | 2 | 1 |

## Pick a number between 1 and 3, Random number between 1 and 3, Generate random number 1 to 3, Random number generator 1 to 3, Numbers picker between 1 and 3 | 1 | 3 | 3 |

## Random number between 1 and 4, Pick a number between 1 and 4 | 1 | 4 | 1 |

## Pick a number between 1 and 5, Pick a number 1 through 5, Random number between 1 and 5, Generate Random number 1 to 5 | 1 | 5 | 2 |

## Pick a number between 1 and 6, Random number between 1 and 6, Random number 1 to 6, Pick a number 1 through 6, Random number generator 1 to 6 | 1 | 6 | 2 |

## Pick a number between 1 and 8, Random number between 1 and 8, Random number 1 to 8 | 1 | 8 | 8 |

## Pick a number between 1 and 9, Random number between 1 and 9, Random number 1 to 9 | 1 | 9 | 4 |

## Pick random number 1 to 10, Pick a number 1 through 10,Pick a number between 1 and 10, Random number between 1 and 10, Random number generator 1 to 10, 1 to 10 number generator | 1 | 10 | 9 |

## Random number 1 to 12, Pick a number between 1 and 12, Random number between 1 and 12 | 1 | 12 | 2 |

## Random number 1 to 20, Pick a number between 1 and 20, Random number between 1 and 20 | 1 | 20 | 11 |

## Generate random number 1 to 25 | 1 | 25 | 10 |

## Pick a number between 1 and 30, random number between 1 and 30 | 1 | 30 | 20 |

## Pick a number between 1 and 50, Number generator 1 to 50, random number between 1 and 50 | 1 | 50 | 38 |

## Pick a number from 1 to 100, Random number from 1 to 100, 1 to 100 number generator, Pick a number between 1 and 100, Random number generator 1 to 100, Pick a number 1 through 100 | 1 | 100 | 26 |

## Pick a number between 500 and 1000 | 500 | 1000 | 984 |

## 1 to 1000 number generator | 1 | 1000 | 287 |

## 1 digit generator | 0 | 9 | 3 |

## 2 digit generator | 10 | 99 | 45 |

## 3 digit generator, Random 3 digit number | 100 | 999 | 826 |

## Random 4 digit number generator, 4 digit generator, Random 4 number generator | 1000 | 9999 | 9831 |

## 3 digit generator, Random 3 digit number | 100 | 999 | 682 |

## Random 5 digit number generator | 10000 | 99999 | 23207 |

## Random 6 digit number generator | 100000 | 999999 | 805796 |

## Generate Random Numbers with Ease Using a PRNG Generator

- Cryptography: RNGs are used to generate random keys and other cryptographic parameters.
- Gaming: RNGs are used to generate random dice rolls, card draws, and other game events.
- Simulation: RNGs are used to generate random input for computer simulations.
- Statistics: RNGs are used to generate random samples for statistical analysis.
- Security: RNGs are used to generate random passwords and other security credentials.

- Unpredictability: The sequence of numbers generated by the RNG should be unpredictable, even to someone who knows the algorithm used to generate them.
- Unbiasedness: The RNG should generate all possible numbers with equal probability.
- Speed: The RNG should be able to generate numbers quickly enough to meet the needs of the application.
- Efficiency: The RNG should use resources efficiently, such as memory and CPU time.

- Reproducibility: The RNG should be able to generate the same sequence of numbers if given the same initial seed value.
- Portability: The RNG should be able to be implemented on a variety of platforms.
- Ease of use: The RNG should be easy to use and integrate into applications.

- PRNGs are more common than TRNGs because they are easier to implement and more efficient. However, TRNGs are more secure because they are more difficult to predict.
- PRNGs work by using a seed value to initialize the algorithm. The seed value is a number that is used to start the algorithm and determine the sequence of numbers that it generates. Once the algorithm is initialized, it generates a sequence of numbers using a mathematical formula.
- The specific features that are important for a random number generator to be useful will vary depending on the application. For example, a random number generator used in cryptography must be very unpredictable and secure, while a random number generator used in gaming does not need to be as secure.
- Overall, random number generators are a versatile tool that can be used in a wide variety of applications. The important features of a random number generator will vary depending on the application, but unpredictability, unbiasedness, speed, and efficiency are all important factors to consider.

## Frequently Asked Questions on RNG Generator

RNG stands for Random Number Generator. PRNG stands for Pseudo Random Number Generator

Pseudo random number generator.

True Random number generator.

True Random number - This is also called Non deterministic random number. It is based on hardware and other combinations of noise. Pseudo Random number - This is also called Deterministic random number. This produces predictable output and more of software program based.

This tool can pick a number from a range. Configure the min number and max number to the range with count as 1. To pick a number between 1 and 5, configure min as 1 and max as 5 and click generate.

Mersenne Twister (MT), Linear congruential generators (LCG) , Multiplicative Congruential Method (Lehmer Method), Lagged Fibonacci to name a few of them.

It Deterministic Random Bit Generator. It is same as Pseudo random number generator.