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Statistical significance was evaluated using Student's t-test for paired or unpaired data (significance level 0.05).
The mechanical properties were statistically compared among ligaments, and to the control data (significance level: P < 0.05; trend: P < 0.1).
Fisher's exact test and the Fisher-Freeman-Halton test were applied to cross-tabulated data; significance level was set at P ≤0.001 due to the large number of tested hypotheses.
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After preliminary analysis and taking into account the amount of data, the significance level was determined by a P value of less than 0.01.
A one-class t-test [ 44] was applied to obtain differentially expressed genes within each data set (significance level α < 0.05).
For each dataset, the t-statistics map generated from the original full-sampled data with significance level of 0.05 was used as the ground truth.
To determine whether there was a statistically significant change in self-perceived EOH knowledge following participation in the class we used the Wilcoxon signed-rank test for paired data (5% significance level).
The null-hypothesis under consideration is that there is no difference between these two series of data with a significance level of 0.05 (data not shown).
In addition, the F tests demonstrated that in all the cases there was no significant difference between the simulated data and the experimental data because the significance level was always bigger than 0.05.
Data were compared using the two-sample t-test (normally distributed data) or the Mann-Whitney test (non-parametric data), with the significance level set at 0.05.
For NOEC and LOEC data was the significance level 0.05 or less? or FOR LC and EC data was an estimate of variability provided?
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