Sentence examples for means were identified from inspiring English sources
Post-hoc analyses for differences between group means were identified with Scheffe's multiple comparisons procedure.
Once we reached a group of 100 asphyxiations where no new means were identified, we ended record review.
When significant interactions were identified, differences in simple effect means were identified using Fisher's least significant differences.
Differences between group and subgroup means were identified using the SPSS generalized linear model, with diagnosis and sex as factors in the model and age at draw as a covariate.
For data sets that were normally distributed (Kolmogorov-Smirnov test, GraphPad Prism 4.0), differences between means were identified using the Student t-test when only two groups were compared while a one-way ANOVA with the Tukey Multiple Comparison post test was used (GraphPad Prism 4.0) when more than two groups were compared.
For each data category, differences among diagnostic group means were identified by one-way ANOVA.
The factors that influence the choice of these means are identified, revealing two fundamental classes of DTO companies.
Poor transportation means was identified as one of the problems hindering camel hides from being taken to hides and skins markets.
Among the hanging incidents where a means was identified, commonly available objects (e.g., power cords, bedding, clothing) were used in the hanging.
In this way, the woman possessing body proportions closest to the population means was identified.
Where a significant difference between means was identified with ANOVA, pairwise comparisons were performed using Bonferroni tests for multiple comparisons.
