When added together and divided by the degrees of freedom, the result is variance.
Studies by Zhu and coworkers attracted our attention since their results were at variance with our data.
Our results were at variance with those of other studies that have found no association between ETS exposure and rhinitis [ 20, 21].
As we have commented elsewhere [ 8], this may well explain why our results were at variance with the cerebral spectroscopy changes that we might have expected from the membrane phospholipid hypothesis.
The signal intensity values of the resulting dataset were variance-normalized, mean-centered and ranked by their coefficients of variation.
The results were submitted to variance analysis (ANOVA) and Tukey test (5% probability) using the software Statistica 7.0.
The results were analyzed for variance using the SAS/STAT statistical analysis package (version 6.12; SAS Institute, Cary, NC, USA) to determine significant differences.
Strikingly similar results were found when variance partitioning was based on island distances to the mainland (Fig. 3).
The results were 25.89% variance among groups, 19.63% among populations within groups and 54.48% within populations.
The results were analyzed using variance for two-factorial experiments at the level of significance of α = 0.05 (Newman-Keuls test).
