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These significance for the count rates per 5 min become 17, 32, and 53 σ, respectively (Nagai et al. 2014).
These significance tests use a Monte Carlo permutation method [ 25].
These significance levels are enumerated in Tables 2 and 3 for both studies.
These significance levels are associated with the increase in R2 as explanatory variables are added stepwise to the regression models.
These significance levels, however, have been found to be too high for minimizing type I error [ 2], and also too low for minimizing type II error and attaining good predictive models [ 1, 3, 21, 22].
Since the statistical tests for significance are also based on these assumptions, the conclusions resulting from these significance tests are called into question if the assumptions regarding ε are not satisfied.
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Beyond these significances, however, is another importance to the redesign that has been largely overlooked in the media coverage.
However, when relating to body weight, these significances were lost.
These significances are expressed as P-values.
Friedman ANOVA followed by Wilcoxon test confirmed these significances.
But all these significances disappeared after adjustment by Bonferroni-correction.
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