mathematical function that describes the probability of occurrence of different possible outcomes in an experiment From Wikipedia, the free encyclopedia
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]
As an example, the probability distribution for a single roll of a normal 6-sided dice can be presented by:
Result | ||||||
---|---|---|---|---|---|---|
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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