Exact(14)
When the ANOVA determined significant differences between factors, a post-hoc pair-wise Least Significant Difference (LSD) test was performed to assign differences to specific factors.
KW tests determined significant differences between the three treatment conditions and pairwise comparisons were performed using MWU tests (significant P< 0.05).
In the FET group, we determined significant differences in the mean values of all outcomes between the entry and end points of treatment (p < 0.05), contrary to the CON group where we found no significant differences (p > 0.05).
Two-sample t-tests determined significant differences in gene expression between groups of samples.
Two-sided t-tests using log-transformed data determined significant differences in mean gene mRNA levels between groups of paired samples.
Pearson's Chi-square tests determined significant differences in proportions.
Similar(46)
One-way analysis of variance (F-test with p < 0.05) is performed to determine significant differences between different treatments.
A χ test of significance was used to determine significant differences between cross-tabulated proportions.
The chi-square test was used to determine significant differences in the ARI scores among the different groups.
The chi-square test was used to determine significant differences in the adhesive remnant index scores among different groups.
Chi-square analysis was performed to determine significant differences in NaCl-promoted bioformationation between MRSA and MSSA strains using Microsoft Excel.
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