significance test


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significance test

n
(Statistics) statistics (in hypothesis testing) a test of whether the alternative hypothesis achieves the predetermined significance level in order to be accepted in preference to the null hypothesis
References in periodicals archive ?
The significance test employ the Two Stage Least Square (TSLS) method, with assistance of E-views software.
For mechanical characteristics, the correlation is more pronounced, which is also confirmed by the Spearman rank correlation analysis: a significance test for 100% of the data at a p-level of 0.001496.
For North China and Northeast China, the corresponding correlations did not pass the significance test with the significance level of 0.01.
When area A's raw spectral reflectance was between 0 and 0.5 orders, no band passed the 0.05 significance test. However, starting from 0.6 order, the bands passed the 0.05 significance test.
In Table 3, nearly 70% of houses failed the (b) significance test and/or the (c) [R.sup.2] test, while only two houses failed the (a) shape test, and 1 house did not satisfy the (d) data population test.
One only needs to enter the number of men and women in various age groups and the prevalence of hearing loss by the NIOSH or Norwegian definition to get the answer with a [Chi.sup.2] significance test. Many electronic medical records (EMR) in Norway automatically encode hearing in accordance with the Norwegian class 1-3 system, meaning that all the data needed for the spreadsheet is readily available.
Applying the significance test of the mean differences for the pair samples, the mean gets a t value of 5.900 (df-15), p <0.05, which supports the acknowledgment that unipodal balance on the right foot was significantly improved.
We have called such an approach the conservative null-hypothesis significance test (NHST) in our recent article "Error rates, decision rates and publication bias with several inferential methods", available online in Sports Medicine.
Table 1 Cointegration equation and error correction coefficients Eigenvalue [H.sub.0] [[lambda].sub.trace] 0.764 r=0 test 0.404 r [less than or equal to] l [[lambda].sub.max] 0.764 r=0 test 0.404 r=l Significance test of variables in the cointegrating vector Restrictions [[beta].sub.GINI]=0 [[beta].sub.NX_RATIO]=0 [chi square] (1) 29.58 *** 16.71 *** Significance test of speed-of-adjustment coefficient to the cointegrating vector Restrictions [[alpha].sub.GINI]=0 [[alpha].sub.NX_RATIO]=0 [chi square] (1) 0.02 0.41 [H.sub.1] Statistic [[lambda].sub.trace] r>0 84.32 test r>1 38.01 [[lambda].sub.max] r=1 46.31 test r=2 16.58 Significance test of variables in the cointegrating vector Restrictions [[beta].sub.
Ideally, the outcome metric (for example, reduction in costs or duration of claim) can be quantified for both the control group and the group in the program, and they can be compared through a significance test. One of the most critical evaluators, the U.S.