The experimental results were analysed statistically and the main effects of the variables were computed and analysed.
Results were analysed statistically using the t-test, Mann Whitney U-test and Wilcoxon test.
The results were analysed statistically by design of experiments, correlation analysis, and marginal means plots.
Results were analysed statistically, and the craniofacial growth pattern and related sexual dimorphism were described in three perspectives: lateral and dorsoventral viscero- and neurocranium, and lateral mandible.
The models were then run with these sets, and the ensemble of output results was analysed statistically, yielding estimates of the uncertainty due to variation of the model parameteres.
The results were analysed statistically using the SPSS 16.0 software with the Student's t test.
Results were analysed statistically using two-way analysis of variance (ANOVA) to assess the effect of treatments on volume production and needle nutrient content.
Data were analysed statistically using a one way ANOVA test to look for significant differences in numbers of organisms between strains of mice.
Where different treatments exist, these data can be analysed statistically (e.g. ANOVA, PERMANOVA) to determine significance of differences between treatments (e.g. MPA areas vs controls, Figure 5a,b).
Fold enrichment in the test immunoprecipitations was calculated as two to the power [mean CT value for that sample minus the mean CT value from the IgG control immunoprecipitation] and were analysed statistically against the IgG control immunoprecipitation by two-tailed t test.
