Probability distribution

mathematical function that describes the probability of occurrence of different possible outcomes in an experiment

Probability distribution is a term from mathematics. Suppose there are many events with random outcomes. A probability distribution is the theoretical counterpart to the frequency distribution. A frequency distribution simply shows how many times a certain event occurred. A probability distribution says how many times it should have occurred in the long run (that is, its probability). The probability distribution of a random variable is often written as (or simply ).[1][2] Such a distribution can either be discrete, taking a discrete (or countable) amount of values, or continuous, taking an uncountable amount of values (as from a continuous interval).[3]

The normal distribution, often called the "bell curve"

As an example, the probability distribution for a single roll of a normal 6-sided dice can be presented by:

Probability distribution for a dice roll event
Probability of result

where result is the outcome of the dice roll, and the probability shows the chances of that result occurring. If we roll a dice 60 times, then in the long run, we should expect to have each side appear 10 times on average.

There are different probability distributions.[4] Each of them has its use, its benefits and its drawbacks. Some common probability distributions include:

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References change

  1. "List of Probability and Statistics Symbols". Math Vault. 2020-04-26. Retrieved 2020-09-11.
  2. Bourne, Murray. "11. Probability Distributions - Concepts". Retrieved 2020-09-11.
  3. " What is a Probability Distribution". Retrieved 2020-09-11.
  4. "Normal Distribution - easily explained! | Data Basecamp". 2021-11-26. Retrieved 2023-05-29.