| statistical significance |
A conclusion made about the results of statistical tests. If results are statistically significant, it is unlikely they happened by chance or by errors in sampling. Statistical significance does not mean that the results automatically have practical significance or importance. Also see p value.
출처: www.mh.state.oh.us/oper/research/pubs.ta.research....
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| statistical significance |
Since a given set of measures might vary because of some chance fluctuations in the conditions at the time and place of measurement, statistical techniques check the probability that the results are not due to chance. If the results pass the check, they are considered statistically significant.
출처: www.ndu.edu/irmc/elearning/primer/glossary.htm
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| statistical significance |
Provides for the probability that a result is not due to chance alone. Level of significance determines degree of certainty or confidence with which we can rule out chance. Statistical significance does not equate to value.
출처: www.uwex.edu/ces/tobaccoeval/glossary.html
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| statistical significance |
A finding resulting from application of statistical procedures that a difference between a sample value and another value (either a constant or another statistic) is large enough to conclude that the two values being tested are different, that is, not due to chance or random error. The most commonly used confidence level for finding statistical significance is 0.05, meaning that there is a 5 percent or less probability that the difference observed was caused by
출처: www.lillytrials.com/docs/terminology.html
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| statistical significance |
The degree to which a value is greater or smaller than would be expected by chance. Typically, a relationship is considered statistically significant when the probability of obtaining that result by chance is less than 5% if there were, in fact, no relationship in the population.
출처: www.jrsa.org/jjec/resources/definitions.html
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