(redirected from Statistical test)
Also found in: Dictionary, Thesaurus, Medical, Legal, Encyclopedia.
Related to Statistical test: T 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.


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 ?
One of the most common mistakes related to statistical tests is that the name of the statistical test is not specified correctly.
The NIST statistical test suite [26] consists of 15 tests, to test the randomness of binary sequences, that are either generated by software or hardware based pseudorandom number generator.
Much of the past work [2] has focused on the development of an appropriate material balance calculation and statistical tests to determine probabilities of detection.
Based on the results in table 2, the statistical tests it can be concluded that there is a relationship between the type of surgery with postoperative abdominal pain intensity(p <0.05).
Whether it is introduction of technology or the purchase of domestic technology, there is no contribution to innovation output, and can't pass through statistical test. Taking into account the ratio of digestion and absorption to imported technology expenditure has been below 0.25, while ratio of Japan, South Korea and other countries in a period of rapid economic development even reached 3 to 10, which shows that the serious shortage of investment in the digestion and absorption of foreign technology in China.
These statistical tests are the nonparametric analog or match to parametric tests.
This may cause individuals to conclude that an intervention is effective, especially if there is a p value from a statistical test of <0.05, without thoughtful consideration of other factors.
Statistical tests alone cannot identify how important the results are to clinical practice.
Different statistical tests require specific levels of measurement.
What is still common in resources is that the zero hypothesis is accepted when a statistical test is not significant.
Maurer's universal statistical test: The focus of this test is the number of bits between matching patterns (a measure that is related to the length of a compressed sequence).

Full browser ?