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The data were verified for normality of the measurements using histograms and Shapiro-Wilk tests.
15 The data were verified for normality of distribution and equality of variances.
The numerical data were verified for normality of distribution (the Kolmogorov-Smirnov test) and homogeneity of variance (Levene's test).
The numerical data were verified for normality of distribution (Shapiro-Wilk's test) and for homogeneity of variance (Levene's test).
Values from each biological replicate were transferred into the statistical analysis program GraphPad (GraphPad Software, Inc., La Jolla, CA, USA), verified for normality, and an analysis of variance (ANOVA) run to assay differences between experimental treatments.
The samples and the subsamples were verified for normality of distribution using the p-Shapiro-Wilk test, so as to establish how to consider the parametric and nonparametric statistics each time.
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The hypothesis of normality and log normality was verified for the total dataset and for each of the two distinct subsets using the Shapiro Wilk test (Table 2).
Normality was verified for all tests using the D'Agostino-Pearson omnibus normality test, or the Kolmogorov Smirnov test when sample size was too small.
It shows that the normality is verified for both groups of data belonging to the two different geological units, while the log normality is verified for only one.
Using a Shapiro-Wilk test, normality was verified for all measurements and mechanical parameters except for the damage size produced by PMMA augmented screws.
The Kolmogorov-Smirnov test was used to verify all data for normality.
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