Barely Significant

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marginally significantp = 0.051.0× alphagold
auratus ) as a between-subjects factor, applied on the first approaches only, revealed a marginally significant effect of the interaction Time x Geometry (F(4,64) = 2.52, p = 0.05, \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\eta }_{p}^{2}$$\end{document} η p 2 = 0.14).
marginally significantP = 0.051.0× alphagold
Duncan post-hoc analyses on visual-spatial working memory revealed that, in the Training-first Group (G1), delta 1 (M = 0.85, sem = 0.26) was significantly larger than delta 2 (M = −0.35, sem = 0.22; P < 0.01), with a very large effect (Cohen’s d = 1.21); in contrast, in the Waiting-first Group (G2), the difference between delta 1 (M = −0.19, sem = 0.30) and delta 2 (M = 0.34, sem = 0.25) was marginally significant (P = 0.05) and in the expected direction of a medium-sized improvement after training (Cohen’s d = 0.53).
marginally significantP = 0.051.0× alphagold
In non-diabetic participants (n = 8610), though the associations of the two GRSs with the four lipids were weakened, the results of causal association analyses were consistent with the analyses in the whole study sample, except for TC which was marginally significant in analysis with the Conservative GRS ( P = 0.05) (Supplemental Table 6 ).
highly significantP < 0.051.0× alphaqualifiedgold
The linear term coefficient of X 2 , as well as the quadric term coefficients of X 1 2 , X 2 2 , X 3 2 , had highly significant (P < 0.05) effects on cell density (transformation at base 10 log) ( Table 4 ), so Eq.1 can be simplified as: After analysis of the lipopeptides yield data, the model linear term coefficients of X 1 , X 2 and X 3 , and the cross-product coefficients of X 1 X 2 , X 1 X 3 and X 2 X 3 were not signifi