Sentence examples for deviations between groups from inspiring English sources

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.

In addition, the Welch's two-tailed t-test was used when standard deviations between groups were unequal.

Data were plotted and fitted by nonlinear regression assuming a Gaussian distribution with uniform standard deviations between groups.

Two-tailed unpaired t-tests (assuming different standard deviations between groups) were conducted to assess the statistical significance of the differences observed.

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].

Simulations were repeated with the standard deviations and difference between groups doubled.

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.

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.