# Unconditional Probability: Overview and Examples

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## Definition of 'Unconditional Probability: Overview and Examples'

Unconditional probability is the probability of an event occurring, regardless of any other factors. It is calculated by dividing the number of ways the event can occur by the total number of possible outcomes.

For example, the probability of rolling a 6 on a die is 1/6, because there are 6 possible outcomes (1, 2, 3, 4, 5, and 6) and only one of them is a 6.

Unconditional probability is used in a variety of applications, such as:

* Predicting the weather
* Determining the odds of winning a game
* Making investment decisions

In order to calculate the unconditional probability of an event, you must first know all of the possible outcomes. Once you know the possible outcomes, you can divide the number of ways the event can occur by the total number of possible outcomes.

For example, if you are trying to determine the probability of rolling a 6 on a die, you would first need to know that there are 6 possible outcomes (1, 2, 3, 4, 5, and 6). Once you know this, you can divide the number of ways the event can occur (1) by the total number of possible outcomes (6) to get a probability of 1/6.

Unconditional probability is a fundamental concept in probability theory and is used in a variety of applications. By understanding how to calculate unconditional probability, you can make more informed decisions about the likelihood of future events.

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