Sentence examples for satisfy the statistical from inspiring English sources

In order to examine the provided model, an analysis of variance was performed for linear and quadratic equations for GO and GR-based photocatalysts in which satisfy the statistical criteria.

The recorded chords satisfy the statistical profile discovered by Krumhansl in classical Western music [30], that is, octave relationships are the most frequently, followed by consonant musical intervals (perfect fifth, perfect fourth) and the smallest probability of occurrence is given to dissonant intervals (minor second, augmented fifth, etc).

To satisfy the statistical requirements of the models, we applied logarithm transformations to all outcome variables to stabilize their variances.

Scores on one item were reversed, as this item is negatively worded (other negatively phrased items did not satisfy the statistical criterion for inclusion).

As the observed differences may not satisfy the statistical assumption of independence required for meta-analysis [ 74], the sample size of these groups without LBP used in the meta-analysis were divided by the number of comparisons made.

Further analysis showed that, for NFBLB and to satisfy the statistical significance of p-value < 10-3, 8 × 10 (rather than 10) sampling runs were required to converge and stabilize the kinetic motifs (Additional file 1: Figure S6).

Five sigma meant that Kuo had satisfied the statistical standard for discovery and that the chances of his observation being a fluke were extraordinarily low one in three and a half million.

Five sigma meant that Kuo had satisfied the statistical standard for discovery and that the chances of his observation being a fluke were extraordinarily low — one in three and a half million.

29.5% (18/61) satisfied the statistical evaluative criteria for hormesis, exceeding that predicted by chance by 4.0-fold (p < 0.001).

Generalized equations are developed by using multiple linear regression technique to estimate the degree-days and those satisfied the statistical tests are proposed.

Based on the Bayesian framework, the MCMC method uses the existing data to constrain the solutions, which not only satisfies the statistical characteristics of the inversion parameters but also integrates the prior information to improve the inversion accuracy.