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Analysis of variance procedures and especially post hoc procedures are sensitive to population variances and differences in sample size in subgroups.
Expected outcome measures (prevalence rates and mean variances) and differences between groups (age, gender and urban/rural groups) will be calculated with 95% confidence intervals.
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The sample size was calculated for two independent samples, assuming equal variances and difference of means to be 1.0.
Because of statistical variance and differences in methodology, some of the numbers are going to be a little bit better for him than others.
Differences in the initial levels of additive and phenotypic variance, and differences in the rate of change of each variance component, results in systematic differences in the average trait heritability in a constant environment.
Differences among groups were searched with the Kruskal-Wallis One-Way Analysis of Variance and differences between groups by Mann-Whitney's U test when the ANOVA revealed a significant difference.
Data were analyzed by one-way analysis of variance, and differences between group means were evaluated with the Duncan test.
Differences between groups were determined using one-way analysis of variance, and differences within groups were determined using repeated measures analysis of variance.
Inter-interviewer variance and differences in reports for self and neighbors for some outcomes caution the precision and validity of some estimates.
Comparisons among the experimental groups were made using one-way analysis of variance and differences between specific groups were determined using Duncan's Multiple Range Test.
Finally, the data were analyzed using analysis of variance, and differences between our previous and our optimized methods were evaluated using Fisher's PLSD. Figure 1 presented an overview of the second step of AMS target preparation.
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