The statistical significance between groups was determined using either unpaired or paired tests.
Two-sample t-tests were used to test for differences between treatment groups, while paired tests were used to examine changes over time within treatment groups.
However, we used the same technique before and after exercise in each patient, which attenuates this potential limitation as the patient was his own control and all the analysis were done using paired tests.
An analysis comparing results from paired and unpaired cooking tests suggests that, due to high variance and sources of bias in unpaired tests, experimental design should favor paired tests.
In the 8,000 paired tests, two trained testers with equal personal and financial characteristics (one white and the other black, Hispanic, or Asian), inquired about rental and home ownership possibilities and tracked the treatment as well as the housing opportunities that were presented.
The statistics of slopes suggested that slope 1 is steeper than slope 2, and paired tests confirmed this observation.
Mantel-Cox tests were performed for survival curves and one-tailed Mann-Whitney paired tests were used to compare quantifications of bacteria, bacteriophages and cytokines.
Statistical analysis for comparisons between age groups was performed by one-factor ANOVA, with post hoc comparisons made by Bonferroni-corrected paired tests.
For comparison of cancers against control sample groups, unpaired tests were conducted to investigate if two groups of expression are different, while paired tests were applied to examine the consistency of expression changes across all pairs.
No difference was observed for other tests between B vs K and S vs NS for different paired tests.
48 49 One study suggests that ALT alone might detect 90% of the elevated AST or paired tests.
