Sentence examples for deviation between groups from inspiring English sources

Standard deviation between groups was calculated on the basis of a previous experiment for CD11b stained area quantification, where σ = 19, thus yielding n = 6.34.

Kruskal Wallis and Mann Whitney tests were used for statistical evaluation through SPSS software version 11. Results of histopathological staining used to characterize cardiac Lipofuscin are listed in Table 1 as the mean and standard deviation between groups.

There was no significant difference in radioulnar deviation between groups, which has been reported in a previous study of symptomatic repetitive workers with flexion restrictions [ 15].

Additionally, effect sizes based on the pooled standard deviation between groups evaluated for the standard deviation of the Placebo group at Baseline revealed the same pattern with effect size estimates being of similar magnitude.

For the remaining, primarily self-report outcomes (e.g., cancer worries and cancer-specific distress, decisional satisfaction, HRQL), the sample of 255 participants is more than sufficient to detect a 0.5 standard deviation between-group difference in mean scores.

However, a total sample size of at least 40 between 2 groups would give 80% power at the 5% level to detect a one standard deviation difference between group means, which appears to be a biologically relevant difference [ 19, 20].

Although no available data is available to allow definitive power calculations, sample sizes were selected to offer more than 80%% power at the 5%% level to detect one standard deviation difference between group means assuming normal and equal variance between groups.

The null-hypothesis is that there is no significant deviation between group 1 and group 2. The critical values are 11.26 at the 0.01 level, and 25.41 at the 0.001 level.

Eight replicates at each time point will give 80% power to detect as significant true mean differences of about 1.6 standard deviations between groups.

However, if count, ordinal or score data are present, these techniques show their limits since means are no adequate measure of deviations between groups.

Indeed, even if models are specified such that structural paths are constrained to be equal between groups, the comparison of standardized coefficients can yield artificial differences that are due to differing standard deviations between groups and not to true moderation.