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 ?
If these answers are satisfactory, then the risk manager can feel more comfortable with the significance test.
This could also be behind the fact that the age factor seems more important than the size factor for the overall significance test, taking all the dependent variables as a whole.
Regarding the significance test in ROC analysis, the first category is the one-algorithm significance test related to evaluation, which is to determine whether the difference between the performance of a single algorithm and a hypothesized value is real or by chance.
The debate over how and why statistical significance tests (SST) should used in research has been contentious since the 1960's when Rozeboom stated "significance testing is surely the most bone-headedly misguided procedure ever forced on the training of graduate students" (Rozeboom, 1960).
In Table 6, we present the results of significance tests for comparisons between each European index and the U.
This degree of analysis is too often neglected, as reflected in comments by Abelson (1995), who noted that statistical significance tests should be used for "guidance rather than sanctification" (p.
2] from the regressions with the national and regional ICS, as well as the Wald statistic for the joint significance test on the lags of the consumer sentiment measure, which is distributed asymptotically as a [chi square] distribution function with K degrees of freedom.
Percentages and significance test of unprotected sex with main and other sex partners among drug use types With main sex partner Total sample * Male Female * Ex-drug users 56.