What is Discrete Uniform Distribution?
Discrete uniform distribution is a kind of probability distribution in which every possible result has equal likelihood of occurrence. When there are limited possibilities and every one of them is equally likely, this distribution is applied.
Example of Discrete Uniform Distribution
Examples of discrete uniform distribution are:
- Rolling a Fair Die
- Drawing a Card from a Deck
- Choosing a Random Day of the Week
- Flipping a fair coin
Properties of Discrete Uniform Distribution
The properties of discrete uniform distribution are:
- Equal Probability: Each outcome has an equal chance of occurring.
- Finite Set of Outcomes: The possible outcomes are discrete and finite.
- Uniformity: The probability mass function (PMF) is constant over the range of possible outcomes.
Difference between Continuous and Discrete Uniform Distribution
Continuous and discrete uniform distributions are two types of probability distributions. A continuous uniform distribution has an interval of equally likely values. Instead, a discrete uniform distribution applies to a finite set of outcomes with equal probabilities.
In this article, we will discuss continuous and discrete uniform distribution along with a difference between them.
Table of Content
- What is Continuous Distribution?
- What is Discrete Uniform Distribution?
- Formula of Continuous and Discrete Uniform Distribution
- Difference between Continuous and Discrete Uniform Distribution