statistical significance

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Related to Significance test: significance level, T test

sta·tis·ti·cal sig·nif·i·cance

(stă-tis'ti-kăl sig-nif'i-kăns),
Statistical methods allow an estimate to be made of the probability of the observed degree of association between variables, and from this the statistical significance can be expressed, commonly in terms of the p value.

statistical significance

A term used in statistical analysis when a hypothesis is rejected. As a general rule, the non plus minimum significance level is 5%—i.e., it is said to be significant at the 5% level—which means that when the null hypothesis is true, there is only a 1-in-20 chance of rejecting it.

statistical significance

Significance Statistics A statement of the probability that an observation represents a true causal relationship and not a chance occurrence; the probability that an event or difference occurred as the result of an intervention–eg, a vaccine, rather than by chance alone; this probability is determined by using statistical tests to evaluate collected data. See Significance.

sta·tis·ti·cal sig·nif·i·cance

(stă-tis'ti-kăl sig-nif'i-kăns)
Statistical methods that allow an estimate to be made of the probability of the observed degree of association between variables, and from this the statistical significance can be expressed, commonly in terms of the p value.
References in periodicals archive ?
Bias (mm) RMSE (mm) Correlation coefficient North China 108.4 182.6 -0.41 Northeast China -19.6 55.9 0.65 East China -79.5 175.9 -0.38 Summer South China -219.0 219.7 0.68 Southwest China 29.0 208.6 0.24 Northwest China 29.9 61.7 0.90 Plateau -90.9 175.9 0.57 North China 20.7 21.1 0.87 Northeast China 21.9 20.3 0.59 East China -36.9 66.4 0.89 Winter South China -96.2 105.5 0.66 Southwest China 8.8 40.4 0.49 Northwest China 18.3 24.7 0.59 Plateau 21.6 30.4 0.09 Table 3: Bias, RMSE, and correlation coefficients of simulated soil moisture (* indicates not passing the significance test at a significance level of 0.01).
In area with no human interference, the sequence of the number of bands that passed the 0.05 significance test was as follows (from high to low): 1/R >LgR >s/R > [square root of R] > 1/LgR.
Applying the significance test of the mean differences for the pair samples, we get a t-value of 9.94 (df-15), p <0.05, which supports the acknowledgment that abdominal strength was significantly increased., which demonstrates that the means applied led to improvements in the subjects' abdominal strength.
You may also remember significance tests, which allow you to be 95% confident that something is accurate.
R-Square ([R.sup.2])--explains x% of the variation of x in relation to y t Stat--the statistics of the coefficient significance test. If the given values are on the regression curve, then [R.sup.2]=1, meaning a perfect correlation.
Basically, the habitats assessment starts with a tiered approach of a binary significance test on limited habitat conservation objectives and would, as it is initially dominated by a few preset planet criteria, easily ignore people or profit considerations.
In this paper, we propose a design of irregular grid structure for RF fingerprinting and a statistical significance test framework for fingerprint data validation.
Major Finding: Depression was negatively related to healthy dieting behaviors - significance test of the simple slope t(192) = -2.59, P less than .01 and positively related to unhealthy dieting behaviors t(192) = 3.61, P less than .01 among women.
This was subsequently followed by Kish, in 1959, with the article "Some Problems in Research Design," Rozeboom, in 1960, with the article "The Fallacy of the Null Hypothesis Significance Test," published in the Psychological Bulletin, or Carver, with the article "The Case against Statistical Significance Testing," published in 1978 in the journal Harvard Educational Review.
Analysing the results of the significance test of linear regression coefficient (Table 2, Column 5), and comparing results by estimating values of [v.sub.p] and calculated according to model (1) (Table 2, Columns 8 and 9), one can arrive at the conclusion that the main factor influencing the parameters of speed distribution is the rut depth.