Generates a random number between two given values.

The Math Utils package provides a set of useful mathematical utility functions that can be used in JavaScript applications. This package includes the following functions:

• random: Generates a random number between two given values.
• geometricMean: Calculates the geometric mean of a set of numbers.
• arithmeticMean: Calculates the arithmetic mean of a set of numbers.

To install the Math Utils package, you can use npm or yarn:

npm install random-from-to

or

yarn add random-from-to

To use the functions provided by this package, you need to import them into your JavaScript code:

const { random, geometricMean, arithmeticMean } = require('random-from-to');

The random function allows you to generate a random number between two given values. It takes two arguments: num1 and num2. Here's an example:

const randomNumber = random(1, 10);
console.log(randomNumber);
// Output: A random number between 1 and 10

The geometricMean function calculates the geometric mean of a set of numbers. It accepts a variable number of arguments. Here's an example:

const mean = geometricMean(2, 4, 8);
console.log(mean);
// Output: 4 (the geometric mean of 2, 4, and 8)

The arithmeticMean function calculates the arithmetic mean of a set of numbers. It also accepts a variable number of arguments. Here's an example:

const mean = arithmeticMean(2, 4, 6, 8, 10);
console.log(mean);
// Output: 6 (the arithmetic mean of 2, 4, 6, 8, and 10)

The Math Utils package provides convenient functions for performing common mathematical calculations in JavaScript applications. By using this package, you can:

• Easily generate random numbers within a given range.
• Calculate the geometric mean of a set of numbers.
• Calculate the arithmetic mean of a set of numbers.

These utility functions can be particularly useful in various scenarios, including statistical analysis, data processing, game development, and more.

Contributions are welcome! If you find any issues or have suggestions for improvements, please feel free to open an issue or submit a pull request on the GitHub repository.

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