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noun analysis, audit, check, checkup, effort, examination, experience, experiment, exploration, inquest, inquiry, inquisition, inspection, interrogation, observation, questioning, quiz, research, scrutiny, search, study, survey, trial, try, tryout
Associated concepts: blood test, clear and present danger test, compelling state interest test, prudent man test, right from wrong test, substantial evidence test
See also: attempt, canon, check, criterion, endeavor, experiment, indagation, inquiry, poll, question, research, survey, trial, try, venture

TEST. Something by which to ascertain the truth respecting another thing. 7 Penn. St. Rep. 428; 6 Whart. 284. Vide Religious Test.

References in periodicals archive ?
While the statistical test (and associated p value) can give us an estimate of chance differences, it alone is insufficient.
For studies that are strictly exploratory, and for which multiple statistical tests are conducted without adjustments for multiple comparisons, authors must acknowledge the possibility of false-positive findings and the need for follow-up confirmatory experiments.
The associations claimed in this article are based upon improperly conducted statistical tests and are spurious.
What is still common in resources is that the zero hypothesis is accepted when a statistical test is not significant.
The uniformity of the P-values has also been examined quantitatively via an application of [chi square] test and the determination of a P-value corresponding to the Goodness-of-Fit distributional test on the P-values obtained for each statistical test (i.
This can be done with classical statistical tests (Blahut, 1987; Maurer, 1994).
In that case, also, the statistical test, the significance level, and the p-value are called two-sided.
SigmaStat can easily accommodate the vast amounts of data and includes the 30 of the most frequently used statistical tests and procedures used in clinical and laboratory research.
In carrying out this study, we performed a statistical test to compare the standard deviations for two different time periods: 1990-1995 and 1996-2004.
The Kruskal-Wallis one-way analysis of variance by ranks was used for a simultaneous statistical test of the score distributions for the four exposure conditions.
The tests have been documented in NIST Special Publication (SP) 800-22, A Statistical Test Suite for Random and Pseudorandom Number Generators for Cryptographic Applications.
The statistical test used to analyze the data is "a very weak, and probably inappropriate, statistic for use in detecting trends in time-series-data," he said.

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