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test

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 ?
The authors have suggested a relationship exists, however, only arithmetic percentages have been used, hence, the existence of any relationships cannot be stated as no statistical tests have been applied in this study.3
Statistical error rates in radiology journals are remarkable especially in representing and reporting the P values, in reporting the name of the statistical test, in summarizing data and in statistical terminology.
Some of the statistical tests suites frequently used for testing of pseudorandom number generators are DieHard Test, Crypt-XS statistical test suite, NIST statistical tests suite [26].
Statistical tests are used to examine responsiveness to material loss.
Based on the statistical test in table 6 it can be concluded that there is a correlation between the scale of pain with analgesic was given.
Firstly, look at the new product sales revenue as the output of innovation results, from the spatial lag model (SLM) estimation, only enterprises independent R&D input and spatial lag coefficient vector [rho] pass through the statistical test, other variables are not pass through statistical tests.
For research conducted in the field of visual impairment, which has a low-incidence population, locating the number of participants required for a strong statistical test can be a challenge.
While the statistical test (and associated p value) can give us an estimate of chance differences, it alone is insufficient.
The test for significance is based on whatever statistical test was done in the study.
To interpret and use statistics, it is helpful to a) identify a null hypothesis, b) determine the type and level of data collected so that an appropriate statistical test is chosen, c) select a level of significance, and d) estimate the number of participants needed by choosing power and effect size.
When a statistical test is performed, the decision being made is whether to accept or reject the null hypothesis.
Each procedure chapter reviews the mathematical logic on which the statistical test is based and the basic tools necessary for comprehending the literature published in the statistics journals.

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