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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.


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.
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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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