Sentence examples for common significance from inspiring English sources

Moreover, these two results (for the unrestricted case k = ∞) are not statistically significant when considering the common significance level α = 0.05, that is in both cases, we can assume that the energies of the random structures and those of the biological data follow a common distribution.

The most common significance level is α = 0.05; for normality to be satisfied, the P value for the residuals must not be smaller than 0.05.

When we look at the factors that may affect expectations, the Kruskal-Wallis test cannot reject the null hypothesis that all guesses come from the same distribution at any common significance level, under different assumptions (p > 0.173).

Differently from the evidence in Section 3, the difference between permanent and temporary migrants is now positive at common significance levels as expected by theoretical prediction.

The Q-test results in a test statistic of 41,056,17 which obviously leads to a rejection of the null hypothesis of homogenous effect sizes at all common significance levels.

While the initial p-value of the Chi-squared test was significant (p < 0.01), this changed after a bootstrap with 400 simulated datasets (p > 0.10), which was clearly above the common significance level of p < 0.05.

The most common practical significance of the actinoids arises from the fissionability, or potential for splitting, of nuclei of certain of their isotopes.

"While horrific, widespread reports of abuse and cover-up are sadly quite common, the significance here is that a government panel is conclusively saying that the finger-pointing and blame-shifting and excuse-making of the church hierarchy is bogus," he said in an interview.

We also provide details about some effect size indices that are paired with common statistical significance tests used in educational research and offer general suggestions for interpreting effect size measures.

In this essay, we explain the utility of including effect size in quantitative analyses in educational research and provide details about effect size metrics that pair well with the most common statistical significance tests.

The difference in the spatial scale of these synchrony patterns in humans and animals suggests that the sources of these events differ across species (although they may have a common functional significance still, as argued by Freeman 2007).