Barely Significant
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moderately significant

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P<0.11p>0.11

Listed by Hankins, posted since · Hankins (2013) · Otte et al. (2022)

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moderately significantp < 0.0010.0× alphagold
2.9 Statistical analysis Quantitative data were conducted as mean ± standard deviation (mean ± S.D.), and the Student’s t - test was used to analyze all experimental data, where the statistical significance * p < 0.05 represents significant, ** p < 0.01 represents moderately significant, and *** p < 0.001 represents highly significant. 3 Result and discussion 3.1 Material characterization The basic characterization of Fe-ZIFs@CoP samples is summarized in Figure 1 .
moderately significantp ≤ 0.0010.0× alphagold
R 2 ≥ 0.8, p < 0.001) was witnessed for 86% of plasma analytes (103/120) and 88% of serum analytes (106/120), indicating that the capillary blood analyte concentration follows changes in venous analyte concentration. A further 13% of plasma analytes (15/120) and the remaining 12% of serum analytes (14/120) achieved moderately significant linear relationships (50% > R 2 > 79%, all p ≤ 0.001) between collection sites ( Figure 3 ).
moderately significantp < 0.0010.0× alphagold
A moderately significant correlation was also observed between extension strength with weight p < 0.001) and BMI (r range = 0.43–0.46); however, we identified a weak correlation between extension strength with weight and neck circumference (r range = 0.36–0.46).
moderately significantp<0.0010.0× alphagold
Relationship between knowledge of PA and practice of PA Pearson product correlation of knowledge of PA participation and level of practice of PA indicated a moderately significant (r=0.159, p<0.001); the r value of 0.159 implicates that there was a positive correlation.
moderately significantp < 0.0010.0× alphagold
Studying the correlation between MetS component numbers and the same variables revealed a moderately significant correlation between the number of MetS components and the percentage of body fat ( r = 0.355, p < 0.001) and the percentage of body muscle mass ( r = 0.325, p < 0.001).
moderately significantP < 0.0010.0× alphagold
The corresponding data analysis was solved based on recommended approaches in these software tools to determine the comparison of the variances of data as *P < 0.05 (statistically significant), ** P < 0.01 (moderately significant), ***P < 0.001 (highly significant) and **** P < 0.0001 (extremely significant).
moderately significantp = 0.0010.0× alphagold
Interestingly, both Procrustes and Mantel analyses identified a moderately significant relationship between the two datasets (Procrustes correlation = 0.73, p = 0.001 and Mantel test r = 0.69, p = 0.001), suggesting both communities influence each other during regeneration.