statistical significance


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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 ?
Readers should consider both statistical significance and clinical importance when examining the results of research studies.
05), the sample size necessary to find statistical significance can be computed using G*Power.
Statistical significance is not the same thing as scientific finding.
It's exciting to note that virtually all markers tracked by these researchers moved in the direction of safety and most of these changes attained statistical significance.
There was a statistical significance in favor of the Individualized Education Program rather than the district's curriculum as the primary source of student instruction.
The case against statistical significance testing, revisited.
About 1,000 children were overweight in the study that reached statistical significance; only about 300 children were overweight in the study that did not reach statistical significance.
Another very serious problem with Lott's method is how he calculates the statistical significance of his results.
The enormous size of the sample means that even shifts of a half percentage point have statistical significance, its authors said.
In most cases, the change that occurred between the first and the last survey is also reported, along with an indication of the statistical significance of the change.
Researchers look for statistical significance of the main effect for the single data set, instead of generalizing to the worthwhileness of the coefficient being evaluated.
As announced in December 2011, all primary outcome measures in the first study were achieved with statistical significance.

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