Uniform Distribution - Explained
What is a Uniform Distribution?
If you still have questions or prefer to get help directly from an agent, please submit a request.
We’ll get back to you as soon as possible.
- Marketing, Advertising, Sales & PR
- Accounting, Taxation, and Reporting
- Professionalism & Career Development
Law, Transactions, & Risk Management
Government, Legal System, Administrative Law, & Constitutional Law Legal Disputes - Civil & Criminal Law Agency Law HR, Employment, Labor, & Discrimination Business Entities, Corporate Governance & Ownership Business Transactions, Antitrust, & Securities Law Real Estate, Personal, & Intellectual Property Commercial Law: Contract, Payments, Security Interests, & Bankruptcy Consumer Protection Insurance & Risk Management Immigration Law Environmental Protection Law Inheritance, Estates, and Trusts
- Business Management & Operations
- Economics, Finance, & Analytics
Table of ContentsWhat is a Uniform Distribution?How is a Uniform Distribution Used?Visualizing Uniform DistributionsAcademic Research for Uniform Distribution
What is a Uniform Distribution?
Uniform distribution is also called rectangular distribution, it is a term commonly used in statistics and probability theory to depict the equal probability of all outcomes in a family. Uniform Distribution refers to the equal distribution of outcomes or uniform probabilities assigned to outcomes in a likely occurrence. In a sample space, when all outcomes have the same probability, uniform distribution has come to play. A good example of uniform distribution is a coin that when it is tossed, it can either get a head or tail, both head and tail are outcomes with equal probability.
Back to: RESEARCH, ANALYSIS, & DECISION SCIENCE
How is a Uniform Distribution Used?
In a uniform distribution, all outcomes in a probability distribution are the same. Uniform distribution is categorized into two, they are; Discrete uniform distribution and Continuous uniform distribution. For example, a die has six figures: 1, 2, 3, 4, 5, and 6. A die is an example of a discrete uniform distribution because when rolling a die, you will probably roll any of the figures as combination and not figures that do not appear on the die such as 7.8, 8.9 and so on. A continuous uniform distribution can be exemplified using an object that generates numbers randomly in which every number has the probability of appearing continuously. Here are the major things to not about uniform distribution;
- In a uniform distribution, all outcomes have equal likely outcomes.
- For instance, a head and tail are the two outcomes that a coin can give when it is tossed. These outcomes have equal probability.
- Discrete and continuous uniform distributions are the two classifications of uniform distribution.
Visualizing Uniform Distributions
There are many types of probability distributions, uniform distribution is one of them. In uniform distribution, all outcomes are equally likely. When a set of variables have an equal possibility of happening, this is an instance of uniform distribution. When plotted on a graph, a uniform distribution takes the form of a rectangle which is why it is also referred to as a rectangular distribution.