test

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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 ?
Next, the dependent variables were log transformed to conduct a more powerful test (Rasmussen & Dunlap, 1991) and clearly interpret group differences detected from the Mann-Whitney U tests.
When the findings of the Mann-Whitney U Test are reviewed, it is seen that the pupils who study while listening to music have higher levels of fluent writing skills (X=46,89) than those who do not listen to music.
2] p Average 16-17 80 208,34 18-21 82 194,34 22-25 101 170,94 4 5,948 ,203 26-29 55 180,11 30 and over 58 191,41 Table 4: The Results of Mann-Whitney U Test conducted to determine whether the Risk Identification Level of the Players differs according to the Marital Status Variable.
A Mann-Whitney U test was conducted after classification, to test whether emergence-hole diameters differed between successful galls (gall-s) and unsuccessful galls (gall-us).
01 Table 2 Mann-Whitney U Test Applied on Differentiation of Students' Self Concepts According to Gender Mean Sum of Gender School type n rank ranks Male General high school 15 2,567 38,500 Music high school 22 1,445 31,800 Female General high school 17 3,941 67,000 Music high school 46 2,926 134,600 Table 3 Independent Group t-Test Applied on Differentiation of Students' Self Concepts According to the Practicing Hours that They Devote to Their Instruments n Mean sd df t Daily Practicing Hours Below one hour 30 4,541 518 One hour and above 35 4,422 389 63 1,05 * * Not significant
The Mann-Whitney U test of two independent groups for nonparametric data was applied to analyze the ordinal data.
The Mann-Whitney U test determines if there is a shift in the center of groups of data in order to examine for differences in the number of students between periods, the number infected by gender, the number of males to females, the mean number of times each gender washes its hands, and the mean number of hand washings among periods.
The basics fort tests, z tests, the nonparametric Mann-Whitney U test, and then the two sample equivalents are outlined clearly and concisely with a minimum of jargon.
Comparisons between the two groups using a Mann-Whitney U test show significant differences between normal elderly subjects and stroke patients on all tests at the 1% level of significance.
In order to analyze the obtained data, descriptive statistics, Pearson product moment correlation coefficient and Mann-Whitney U test are used.