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

Etymology: L, status, condition, significare, to signify
an interpretation of statistical data that indicates that an occurrence was probably the result of a causative factor and not simply a chance result. Statistical significance at the 1% level indicates a 1 in 100 probability that a result can be ascribed to chance.

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.

statistical significance,

n a difference of such magnitude between two statistics, computed from separate samples, that the probability of the value obtained will not occur by chance alone with significant frequency and hence can be attributed to something other than chance. In modern investigation the generally accepted value for significance must have a probability of occurrence by chance factors equal to or less than five times in 100 (
p < 0.05).="" other="" significance="" levels="" commonly="" used="" are="" as="" follows:="" less="" than="" one="" chance="" in="" 100="">
p > 0.01), less than five chances in 1000 (
p < 0.005),="" and="" less="" than="" one="" chance="" in="" 1000="">
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statistical

pertaining to or emanating from statistics.

statistical efficiency
between-test comparisons are based on the ratio of sample sizes required for the tests to have equal probabilities of detecting the same false null hypothesis; the more efficient test will have the smaller sample size.
statistical methods
procedures for collecting, classifying, summarizing, analyzing and making conclusions about, data. See also regression (4), path analysis, factor, discriminant analysis.
statistical significance
References in periodicals archive ?
As we have already pointed out in the introduction, after succinctly describing the current situation of the controversy surrounding the significance test in psychology, we will try to lay the foundations for broadening the debate beyond the methodological field.
It is still believed by many researchers that both parametric and nonparametric significance tests are robust to variance heterogeneity when sample sizes are equal.
In particular, significance tests assess links among only a few measures, which may respond to a multitude of other influences, and exalt group averages while mathematically obscuring individual differences.
Uses and abuses of statistical significance tests and other statistical resources: A comparative study.
The methodological contribution of current study is given in three stages: Incorporation of Pearson's chi-square and Yates's correction to the re-scaled data; Construction of the significance test for kurtosis coefficient associated with the first principal component and Evaluation of the Monte Carlo simulation test.
If these answers are satisfactory, then the risk manager can feel more comfortable with the significance test.
2])--explains x% of the variation of x in relation to y t Stat--the statistics of the coefficient significance test.
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.
Major Finding: Depression was negatively related to healthy dieting behaviors - significance test of the simple slope t(192) = -2.
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.
Our ultimate goal is to perform the significance test in evaluation and comparison using the standard errors computed.