# statistical independence

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## statistical independence

[stə′tis·tə·kəl ‚in·də′pen·dəns]
(statistics)
Two events are statistically independent if the probability of their occurring jointly equals the product of their respective probabilities. Also known as stochastic independence.

## statistical independence

See CORRELATION.
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References in periodicals archive ?
ik] are statistically independent if j [not equal to] k.
At multivariate backward stepwise analysis, in terms of the dependent variable of mortality in the ICU, max HR <100/ minute was identified as one of the two statistically independent variables among age, previous beta blocker use, beta blocker use in the ICU, hypotension, and CHARLSON and APACHE-II scores.
0] hypothesis tests are statistically independent, then the probability distribution for the number of erroneously rejected null hypotheses will be binomial, yielding the probabilities for the possible numbers of erroneously rejected tests x,
n](t) are statistically independent each other, they are linearly independent.
The court looked at the presence of a "sufficient number of statistically independent risks" and not the number of insureds.
It consists of 3 buildings, statistically independent, arranged in the shape of T.
Ranking of statements produced five statistically independent viewpoints of the value of informed choice--as an individual right, informed by religious values, as a shared responsibility, advised by health professionals, and within the family context.
For a new risk marker to be considered as useful for risk prediction, it must be shown to be a statistically independent predictor after an accounting for established risk factors.
nj,B]](p)) are statistically independent of each other with standard uncertainties of [[sigma].
We have used an algorithm proposed by Bell and Sejnowski  for separating the statistically independent components of a dataset.
We found a statistically independent effect of the IMF.
The computational argument depends on successive events being statistically independent and the principle of indifference, but in the biological situation these assumptions do not hold.

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