A discrete random variable is a type of random variable that can take on a countable set of distinct values. Common examples include the number of children in a family, the outcome of rolling a die, ...

Continuous random variables Continuous random variables A continuous random variable is a type of variable that can take on any value within a given range. Unlike discrete random variables, which have ...

Probability distributions are central tools for probabilistic modeling in data mining, and they lack in functional data analysis (FDA). In this paper we propose a probability distribution law for ...

Coursework, homework solutions, and notes for STAT 51600: Basic Probability and Applications (Fall 2025, Purdue University). Topics include probability laws, random variables, discrete and continuous ...

A probability distribution is a statistical model that shows the possible outcomes of a particular event or course of action as well as the statistical likelihood of each event.

You can use the RAND () function to establish probability and create a random variable with normal distribution.

Probability Notes: Check detailed notes on Probability, designed to help class 10 and class 12 students deepen their understanding of the topic and enhance their exam preparation.

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request ...

A probability distribution, usually displayed graphically, shows the relative likelihood of all possible outcomes occurring within a specific time period.