statistical significance

(redirected from significance level)
Also found in: Dictionary, Idioms, Encyclopedia, Wikipedia.

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 ?
(16) The null hypothesis of the Wald test is rejected at the 1 percent significance level. The null hypotheses of the Anderson-Rubin test and /-test cannot be rejected.
Ho4: The hypothesis Ho4 was rejected at the significance level p<.05 and r= .42 which shows a medium correlation between Pareto Principle and Maxwell's levels of leadership.
In reference to Equation (7), variables notably LPOP60, LLIFEXP and LMORT, which have positive signs in the pre-normalization process, are found to be statistically significant at the five percent significance level. Given their associated t-statistics values of over two, these variables will negatively affect the changes in LBALEPF in the long run.
For the temporal change of VCI, 70.41%, 65.00%, and 52.28% areas reached the positive significance level of [alpha] = 0.1, [alpha] = 0.05, and [alpha] = 0.01, respectively, while 3.78%, 2.90%, and 1.57% areas reached the negative significance level of [alpha] = 0.1, [alpha] = 0.05, and [alpha] = 0.01, respectively.
The z value of the control group was -2.574 at the significance level of 0.010 with a P value < 0.05, while for the treatment group, the z value was -5.392 at the significance level with a P value < 0.001.
Table 3: SF allocation (ALLOC_ALL)--descriptive statistics SF allocation--pillars Mean Standard Moran's I deviation ALLOC_ECON 9.38 0.624 0.074 * ALLOC_SOC 9.59 0.435 0.098 * ALLOC_ENVI 9.47 0.514 0.193 ** ALLOC_ALL 10.62 0.343 0.043 ** Statistically significant at the 0.01 significance level; * Statistically significant at the 0.05 significance level.
The solar modulation signals from the Sun are found with above the 5 % significance level, especially on ~11-year time scales.
Of course, statistical software just tells the researcher the significance level without the researcher having to consult actual tables.
First, the significance level alpha was set, and then, each gene in the dataset was tested by the K-S test, the Wilcoxon test, and the T test to select the important genes in order to form a subset of preselected genes.
At a given significance level a in hypothesis testing, it is determined whether the node ([x.sub.i], [y.sub.i]) has found the water pollution at [t.sub.L] based on the known samples [??](x [y.sub.i], [t.sub.i]), l = 1, 2, 3, ..., L.
(a) If [H.sub.01] : Scheme of our proposal is not useful at the 5% significance level ([alpha] = 0.05) is a "null hypothesis", based on expression:
The decision about whether to adjust the significance level below 0.05 requires careful consideration.