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Mann-Whitney U tests were used to assess differences between the variables of different groups.
When no significant differences between the variables of both sub-horizons were found, soil samples from the two depths were considered as one unique sample.
Continuous data were analyzed by means of One-way ANOVA and Kruskal-Wallis test, for detection of possible differences between the variables under investigation among the TMD diagnostic subgroups, and categorical variables were analyzed using Pearson's chi-square test.
Differences between the variables are calculated using the method of Euclidean-distance.
The groups were homogeneous, and there were no differences between the variables selected prior to pairing.
To assess differences between the variables and their impact upon performance, two-sample t tests or ANOVAs were conducted.
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Differences, between the variable domains, are located on three loops known as hypervariable regions (HV-1, HV-2 and HV-3) or complementarity determining regions (CDR1, CDR2 and CDR3).
However, for species/strain-level resolution, either longer ribosomal sequences or additional experiments are required [52], unless there are distinct and identifiable differences between the variable regions of the particular organisms of interest.
The difference between the variables within one group was compared by using a one-way repeated measures analysis of variance followed by Dunnet's test.
To test the statistical difference between the variables we applied a paired, two-way t test for vascular data, the Wilcoxon signed ranks test for headache score, and the McNemar test for AEs.
Student t-test was used to test the difference between the variables, and Pearson correlation coefficient for correlation between variables.
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differences between the varieties
differences between the measures
differences between the alternatives
differences between the factors
differences between the determinants
differences between the fluctuations
differences between the variations
differences between the parameters
differences between the values
differences between the interpretations
differences between the variance
differences between the varying
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