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Bernoulli trial

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Bernoulli trial
n. Statistics
An experiment having only two possible outcomes, usually denoted success and failure, with the properties that the probability of occurrence of each outcome is the same in each trial and the occurrence of one excludes the occurrence of the other in any given trial.

[After Jakob Bernoulli.]

Bernoulli trial
n
(Mathematics & Measurements / Statistics) Statistics one of a sequence of independent experiments each of which has the same probability of success, such as successive throws of a die, the outcome of which is described by a binomial distribution See also binomial experiment
[named after Jacques Bernoulli (1654-1705), Swiss mathematician]

Bernoulli trial
A random event in which one of two possible outcomes can occur (usually denoted success or failure), with the properties that the probability of each outcome is the same in each trial and that the outcome of each trial is independent of the outcomes of the other trials. If the probability of success is p, the probability of failure is 1 - p. The flip of a coin is a Bernoulli trial (where the probability of both success and failure is 0.5), as is the roll of a die (where success might be arbitrarily defined as rolling a six and failure as rolling any other number, with the probability of success being 0.167 and the probability of failure 0.833).


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Specific topics described include injectivity of the Dubins-Freedman construction of random distributions, almost sure convergence of weighted sums of independent random variables, aperiodic order via dynamical systems, laws of iterated logarithm for weighted sums of iid random variables, and homeomorphic Bernoulli trial measures and ergodic theory.
This is your guide to Bayesian analysis, bell curves, Bernoulli trials, to hot and cold streaks, to conditional probability and to those shared illusions that warp our perception of data.
This probability corresponds to the binomial probability that N - 1 Bernoulli trials result in K - 1 successes when the probability of a success is equal to C, [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] To close the model, I need to provide an expression for the critical threshold.
 
 
 
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