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The chosen classifiers are then compared for statistical significance using a two sample t test.
The differences among the three groups were analyzed for significance using a variance analysis.
Data were analyzed for significance using a one-way ANOVA test (GraphPad Prism software, version 7).
Inter- and intra-site group differences were tested for significance using a two-sided t test.
Means and standard deviations were analyzed for statistical significance using a two-tailed test.
These differences were tested for significance using a simple regression model at 95% confidence and then plotted onto a graph.
The data were analyzed for significance using a two-way ANOVA test (Graph Pad Prism 6 software, version 6.05).
The change in strength at 0.2 and 0.4 ms−1 did not reach statistical significance using a pre- vs. post-t test (0 vs. 520 days; P > 0.05).
To see the difference more clearly, we calculated the innovation backward and forward linkages and examined their significance using a Z test.
The procedure starts with an empty model, to which variables are added in order of their statistical significance (using a significance boundary of α = 0.05).
The peak accumulations in charcoal (i.e., intervals with CHAR values above BCHAR) were tested for significance using a Gaussian distribution (>95th percentile).
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