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We used the Shapiro Wilk normality test to verify the normal distribution of data obtained from biomechanical testing, and numeric data were represented as the mean ± standard deviation.
In two cases the left knee was used to verify the normal microstructure of the ACL and ST in rabbits.
In order to verify the normal distribution of the sample data, a D'Agostino-Pearson test was performed for each cephalometric variable; if normal distribution was detected, a paired t test was used to identify significant between-group differences for each cephalometric variable; if normal distribution was rejected, a Wilcoxon test for paired data was used.
The Kolmogorov-Smirnov test was used to verify the normal distribution.
Kolmogorov Smirrow and Shapiro Wilk tests were used to verify the normal distribution of the data.
The Kolmogorov Smirnov test was used to verify the normal distribution of continuous data.
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Furthermore, a simple verification scheme is given for verifying the normal forms and associated non-linear transformations obtained using any methodology.
A Shapiro-Wilk test verified the normal distribution for all parameters.
IHC and qRT-PCR, respectively, verified the normal function of MIN-6 cells morphologically and genetically.
We verified the normal assumption by using a non-parametric bootstrap test.
After verifying the normal distribution of data, one-way ANOVA followed by the Scheffé post hoc multi comparison tests was used to analyze histomorphometric differences between groups.
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