Barely Significant

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highly significantp < .00010.0× alphaqualifiedgold
However, it should not pass without notice that many of the incremental reductions in Table 4 are highly significant ( p < .0001) up to about n -5.
Autocorrelation in category judgement.
Q J Exp Psychol (Hove) · 2023 · PMC10655700
highly significantp ~ 1e-40.0× alphaqualifiedgold
While MEASSA’s performance advantage is most pronounced and highly significant (p ~ 1e-4) against simpler algorithms like SCA, GWO, and its predecessor ASSA, it also maintains a clear and statistically significant edge (p < 0.05) over its closest competitors, mJS and PSO-ACO, which show the smallest yet still definitive p-values (p ~ 1e-2 to 1e-3).
highly significantP < 0.00010.0× alphaqualifiedgold
+ 0.0817 X 2 X 4 + 0.0405 X 2 X 5 - 0.0402 X 2 X 6 - 0.2873 X 3 X 4 - 0.1011 X 3 X 5 - 0.1967 X 3 X 6 - 0.0283 X 4 X 5 + 0.2186 X 4 X 6 - 0.0289 X 5 X 6 - 0.769 X 1 2 - 0.2811 X 2 2 - 1.64 X 3 2 - 1.13 X 4 2 - 0.2342 X 5 2 - 0.0627 X 6 2 # The ANOVA results ( Table 2 ) indicated that the model was highly significant ( F = 16.76, P < 0.0001) with a non-significant lack of fit ( P = 0.2443), confirming model adequacy.
highly significantp < 0.00010.0× alphaqualifiedgold
There is consistently more D1 dimensions in Group II as compared to Group I in each of interdental sites and these differences were found to be statistically significant for PM/CA, CA/LI and LI/CI while the difference was highly significant with CI/CI, CI/LI, LI/CA and CA/PM (p < 0.0001). 5 Discussion In search of definitive guidelines for attaining esthetics in relation to the proportionate existence of white and pink components, several clinical trials have been reported in the literature pertaining to PCA locations ( de Castro et al., 2006 , Sarver, 2004 ).
highly significantp ≤ 0.00010.0× alphaqualifiedgold
From the statistical point of view, the fresh biomass accumulation pattern in the roots and shoots exhibited by the two tested varieties was highly significant (at a p ≤ 0.0001 level), indicating the striking inhibitory effects of As stress on developing rice seedlings ( Table 1 ).
highly significantP < 0.00010.0× alphaqualifiedgold
The second-order polynomial regression model was applied to determine the relationship between the independent variables and the response variable: Y = − 66.25 + 31.74 X 1 + 20.51 X 2 + 29.15 X 3 + 49.40 X 4 − 6.03 X 1 2 − 1.94 X 2 2 − 11.76 X 3 2 − 12.18 X 4 2 The ANOVA results for the model ( Table 6 ) indicated that this model was highly significant ( P < 0.0001).