Barely Significant
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“extremely significant”

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Differences were classified as follows: (1) non-significant (labeled as ns), when a p value is >0.05, (2) significant (labeled as *), when a p value is <0.05, (3) highly significant (labeled as **), when a p value is <0.01, and (4) extremely significant, when a p value is <0.001 (labeled as ***), or <0.0001 (labeled as ****). 3.
22 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\begin{gathered} R = 2.3 + 0.105A + 0.0925B + 0.3575C + 0.05AB + 0.06AC \\ + 0.065BC + 0.1842A^{2} + 0.3192B^{2} - 0.2558C^{2} \\ \end{gathered}$$\end{document} It can be concluded from the results of variance analysis Table 9 that the P value of the regression model is less than 0.01, indicating that the model is extremely significant; the lack of fit item is not significant, and the coefficient of determination R 2 = 0.9752, indicating that the model has a good fitting degree.
An analysis of Table 5 shows that the quadratic regression model established between the experimental factors and the two weed removal rates obtained from the two measurements is extremely significant, with a significance level of 0.01 ( p -values of 0.0002 and 0.004), indicating a good fit of the regression model.
Extremely significant regional differences were also observed for the diet quality of Chinese residents as follows: (1) the diet quality of residents living in southern regions was more satisfactory than that of residents living in northern regions ( p < 0.001); and (2) people living in more urbanized areas had higher DQI scores ( p < 0.001).
Changing Diet Quality in China during 2004-2011.
Int J Environ Res Public Health · 2016 · PMC5295264
20,21 Recently, metal nanoparticles have become extremely significant in biosensing research owing to the generation of surface plasmon resonances (SPR). 22–26 Due to the high sensitivity of SPR towards local environmental changes, it serves as a feasible candidate for biosensing and imaging applications. 27,28 Apart from high sensitivity, SPR based sensing provides real-time and label-free sensing of biomolecules. 29,30 Metal nanoparticles can be used directly in the assay without any binding additive or fluorescent biomarkers.