Uniform Distribution – Example and Theoretical Meaning

# Uniform Distribution – Example and Theoretical Meaning

## What is Uniform Distribution ?

A uniform distribution is a type of probability distribution in which all outcomes are equally likely. In other words, each outcome has the same probability of occurring. This type of distribution is often used when dealing with random variables.

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## Examples of Uniform Distribution

(i) The time between successive arrivals of customers at a store

(ii) The distance between successive lightning flashes

(iii) The time it takes to roll a die

(iv) The number of patients that arrive at a hospital in an hour

## What is Uniform Probability Distribution?

A uniform probability distribution is a type of probability distribution in which all outcomes are equally likely. This type of distribution is often used to model random events that happen uniformly over a given interval. For example, if you were to throw a die, the probability of any given outcome would be 1/6, because each outcome is equally likely.

## What is the Theoretical Mean of Uniform Distribution

A uniform distribution is a type of probability distribution in which all outcomes are equally likely. This type of distribution is often used to model random events that occur uniformly over a certain area or time period. For example, a fair coin tossed once will result in a uniform distribution, because there are two equally likely outcomes (heads or tails).

## What is the Standard Deviation Formula of Uniform Distribution?

The standard deviation of a uniform distribution is the square root of the product of the mean and the variance.

## What are some examples of Uniform Distribution?

Some examples of Uniform Distribution are as follows:

-Rolling a die
-Drawing a card from a deck
-Picking a ball from a urn

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