Barely Significant

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highly significantp < 0.0010.0× alphaqualifiedgold
failed to reach significancep < 0.79515.9× alpha
Post hoc ANOVAs in each block order condition revealed that approach bias was highly significant in participants completing the compatible block first ( F (1, 14) = 29.30, p < 0.001, η 2 p = 0.59), but failed to reach significance in participants completing the compatible block second ( F (1, 14) = 0.07, p < 0.795, η 2 p = 0.001).
highly significantp < 0.0010.0× alphaqualifiedgold
ANOVA analysis revealed that temperature exerted a highly significant effect on archaeal abundance (F = 45.32, p < 0.001); Fe 3+ concentration also had a significant influence (F = 18.67, p < 0.01), whereas the effect of NO 2 − was relatively weak and not statistically significant (F = 3.21, p > 0.05).
highly significantp < 0.0010.0× alphaqualifiedgold
Predictor for doctors prescribing medicinal cannabis While age emerged as a weak yet statistically significant predictor of prescription attitude (β = 0.22, p < 0.05), the strongest predictor was attitude towards the clinical use of medicinal cannabis, which demonstrated a robust and highly significant positive relationship with prescription attitude (β = 0.71, p < 0.001) (Table 4 ).
highly significantp < 0.0010.0× alphaqualifiedgold
However, the model χ 2 test was highly significant ( χ 2 [149] = 263.66, p < 0.001), and as such, modification indices (MIs) were examined to determine possible sources of model misspecification.
highly significantp < 0.0010.0× alphaqualifiedgold
Meanwhile, for each frequency band, comparing the accuracies of 10-fold CV in 15 times training and test between two different conditions by t -test, alpha showed a highly significant difference in the classification accuracies between cue and background conditions (83.48 vs. 76.39%, p < 0.001).
highly significantp <.0010.0× alphaqualifiedgold
Using this model (which includes only the values in the lower right half of the grids in Figure 3B , including the diagonal), the effect of spatial separation (as well as SNR) is highly significant ( p <.001 for both); moreover, linear regression fits at each SNR show that performance improves with increasing spatial separation of target and masker.