Reliability and construct validity were tested by appropriate statistical analyses.
Planning of experiments and data treatment were performed by means of full factorial design and through appropriate statistical tools based on analyses of variance (ANOVA).
Values relative to each coding gene, for input to T-REX, were obtained by using the appropriate statistical test (for example, random-variance t-test for a two classes experiment or Spearman's correlation for quantitative traits).
Future studies will have to reduce the within group variance by either using more heterogeneous samples (preferably also gender-matched), or through appropriate statistical techniques such as multiple regression.
Significant differences between means were calculated by analysis of variance (ANOVA) followed by Student-Newman-Keuls (P < 0.05), using appropriate statistical software.
Appropriate statistical assumptions (e.g. normality and variances) were examined before hypothesis testing.
This in-game statistical variance can be minimized by proper deck construction, as an appropriate land count can reduce mana problems.
Equal variance and normal distribution tests were performed to select the appropriate statistical approach.
An analysis of variance was then conducted for each response and used to determine an appropriate statistical model.
Appropriate statistical model.
For the first study, statistical analysis entailed a two-way analysis of variance (ANOVA) followed, when indicated by appropriate p-values (p < 0.05), by Tukey-Kramer post-hoc test, using the JMP statistical package implemented on the Macintosh operating system.
