Sentence examples for mean deviation divided from inspiring English sources

To represent the variation in the measurements, the coefficient of variation was calculated as the mean deviation divided by the mean [ 8].

Roy tests the hypothesis of lognormality of earnings by calculating measures of 'humpedness' (the mean deviation divided by the standard deviation) and skewness for a collection of different samples and comparing the measures to what one would expect from a normal versus a lognormal distribution.

The average height reached by cell membrane is roughly proportional to the surface engulfed (see Additional file 1, Figure S10), and the mean-square deviation divided by the square root of the average height quantifies the variability of the phagocytic cup, excluding a trivial size dependence on the variability.

Power is evaluated for standardized effect sizes (i.e. mean difference divided by standard deviation) of 0.15, 0.25, 0.4, and 0.5, using a Type I error probability of 0.05 and a one sided test.

[ 4] Standardised effect sizes, calculated as the between-group mean difference divided by the standard deviation at baseline, are one approach to quantifying effect sizes in trials.

Clinical meaningfulness (mean difference divided by population standard deviation, δ/σ) of differences between the groups with and without lipoatrophy was also evaluated.

Intra- and inter-assay variations were determined as standard deviation divided by average mean multiplied by 100%.

To account for the effect of mean in interpreting SDs as a measure of variability, we have supplemented the statistic of coefficient of variation (defined as standard deviation divided by mean).

First we calculated a classic measure of deviation of σ/x̄ (standard deviation divided by mean).

Size variations (standard deviation divided by mean) in width and height were slightly smaller compared to human anthropometric measurements [53].

The coefficients of variation (CV) in % were calculated (standard deviation divided by mean value × 100) to describe imprecision.