# test

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Related to Statistical test: T test

## Test

The event of a price movement that approaches a support level or a resistance level established earlier by the market. A test is passed if prices do not go below the support or resistance level, and the test is failed if prices go on to new lows or highs.

## test

The attempt by a stock price or a stock market average to break through a support level or a resistance level. For example, a stock that has declined to \$20 on several occasions without moving lower may be expected to test this support level once again. Failing to fall below \$20 one more time would be considered a successful test of the support level and a bullish sign for the stock.
References in periodicals archive ?
This may cause individuals to conclude that an intervention is effective, especially if there is a p value from a statistical test of <0.
The power of a statistical test defines as the probability of discovering a significant difference or relations between the measured variables if they really exist (Cohen, 1988); that is the power of a statistical test for discovering an effect if it really exists (Cohen, 1988).
T] corresponding to each statistical test has been given in Tables 1 and 2.
0] is true, one statistical test employing a significance level of 0.
Statistical Tests--SigmaStat includes all the statistical tests most frequently used to analyze scientific research.
82 Number of Observations 72 108 Statistical Test (T-test) T-Observed = 32.
Statistical significance testing can involve a tautological logic in which tired researchers, having collected data from hundreds of subjects, then conduct a statistical test to evaluate whether there were a lot of subjects, which the researchers already know, because they collected the data and know they're tired.
Statistical power means the extent to which a statistical test using adequate outcome measures will be able to detect relationships or differences that actually exist among the comparison groups (Cohen, 1988; Lipsey, 1990).
They are called cryptographically strong algorithms, and their output passes every statistical test that can be performed in a feasible amount of computer time to distinguish random numbers from numbers that fall into a pattern.
Of 73 trials that reported on the equivalency between two interventions and met rigorous inclusion criteria, only 9 (12%) met the investigators' five criteria for a completely reported equivalency study, which included stating a research aim of equivalency, reporting less than a 20% difference between equal interventions, setting an equivalency boundary (defined as the largest difference between the two interventions that is acceptable as clinically unimportant), using an appropriate statistical test, and calculating a sample size for an equivalency trial (Gastroenterology 126[7]:1700-10, 2004).
21) lamented that "there is no generally valid statistical test to determine whether a set of test items is strictly unidimensional.

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