Barely Significant

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(2) The results of the global–spatial autocorrelation analysis and local–spatial autocorrelation analysis documented that the spatial agglomeration degree in the MRYRUA has shown a positive trend since 2010. “High–High” and “Low–High” agglomeration regions spread from the east to the south; in particular, Qianjiang has consistently been a “Low–Low” agglomeration area, while Yichun changed from “Low–High” to “High–High”.
Statistical Methods To check the results of the self-report survey and discuss which factor might be significant for the wayfinding time of firefighters in the DCEs, descriptive statistics were obtained with t -tests and multiple regressions were performed to check for differences in wayfinding times within the 13 factors.
Wayfinding of Firefighters in Dark and Complex Environments.
Int J Environ Res Public Health · 2021 · PMC8345462
highly significantqualifiedgold
The most notable associations with significant statistical significance ( p < 0.001) were those observed between neuromuscular variables such as time to run 10 m (T10; r = −0.629) and jump (CMJ; r = 0.502) and the number of accelerations; aerobic fitness showed a highly significant relationship with meters run per minute (M/M; r = 0.589).
Significant differences were found between the clusters for all compositional variables except for complex geometric shapes (S2), perception of space-to-ground contact (G1) and weight (G2), and color range (C3), for which the differences were marginally significant.
Although temporal distribution of annual concentrations appeared to indicate an increasing trend in TSS concentrations, a significant increase and decrease in the flood and the drought years, respectively, were not always observed, and maximum annual concentrations were observed in the years that were in the normal precipitation group.