Binomial Distribution

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Related to Bernoulli distribution: binomial distribution, Bernoulli Principle

Binomial Distribution

The distribution of successes and failures of a certain number of Bernoulli trials. A Bernoulli trial is a test in which there are precisely two random outcomes: success and failure. For example, if one is testing whether flipping a coin will result in heads, the two outcomes are yes (success) or no (failure). A binomial distribution, then, would be the number of heads compared to the number of tails in a given number of flips. It is also called a Bernoulli distribution.
References in periodicals archive ?
In higher dimensions, Theorem 1 remains valid as is, relating the invariance of Bernoulli distributions under surjective cellular automata and the conservation of range-1 additive quantities.
2] indicates that this formula is appropriate for data with a Bernoulli distribution.
This simple chi-square test is appropriate if multiple admissions are not possible so that the data have a Bernoulli distribution at the individual level.
j] has a Bernoulli distribution with probability of admission [m.