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It is actually really progressive to have a new public sculpture in the most significant square in London.
In Table 6, it is shown that P value of model is linear and less than 0.05, so these terms are significant, square and 2-way interaction P value is more than 0.05 so these terms are non-significant, and non-significance lack of fit is desired in this case value of LOF that is 0.419 which is more than 0.05 and non-significant.
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The effects of spatial heterogeneity were here shown by a significant square-density interaction, seen here in the vole (Table 1).
Variances among trials were not significant (squared ranks test, p > 0.05) and data were pooled for analysis.
These findings require replication in future studies and need to be interpreted with considerable caution given the lack of a significant squared RBP4 term in regression analyses.
Although the chi-square test was significant [chi square (64) = 96.56, p =.005], the other fit indices indicated good fit.
Our proposed estimator offers significant mean square error (MSE) improvement over the reference estimator.
However, when all tubers were combined a significant chi square value of 7.312 was obtained.
Heterogeneity was significant (Chi square test p < 0.001 I2 = 89.2%).
This difference was statistically significant (chi square test, P = 0.005; Table 3).
This asymmetrical distribution of dissociative disorders was significant (Chi square test, P = 0.035).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com