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Many crosses had sample sizes too low to be evaluated statistically using the aforementioned method.
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The results were evaluated statistically using ANOVA, correlation and regression and Principal component analysis (PCO).
Uniaxial tension behaviors of KBFBs and KBFB-reinforced epoxy strands were evaluated statistically using large sample sets.
The differences in the kappa coefficient for the textural classification models were evaluated statistically using a pairwise Z-test, revealing a significant increase in per-class classification accuracy compared to GLCM-based texture measures.
The resulting time-series gravity data are displayed in Fig. 4. Errors in these data were evaluated statistically using records obtained simultaneously by a pair of gravimeters.
In descriptive statistics, continuous variables are presented as means ± standard deviation (or medians with interquartile range), and were evaluated statistically using the Student's t-test.
Cellular data was evaluated statistically using either the Student's t-test or One-way ANOVA with either the Neuman-Keuls or Tukey post test.
The parameters of the linear fits describing the stimuli and the participants' V relationship were mainly used to compare the effects of the two stimuli on the participants' responses: the slopes and the intercepts of the regression lines obtained for each participant were evaluated statistically using three factors (Stimuli, Task and Direction) mixed model analysis.
The results were evaluated statistically using the χ2 test.
Results were evaluated statistically using the paired t test.
Data were evaluated statistically using GraphPad Prism 5 software (GraphPad Software, La Jolla, CA, USA).
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