Sentence examples for mean height difference from inspiring English sources

601 points of observed ellipsoidal heights compared with the three DEMs, the results show that the SRTM1 is the most accurate one, that produces mean height difference and standard deviations equal 2.89 and ±8.65 m respectively.

Open image in new window Fig. 2 Normalized mean height difference with respect to the Womersley number for a single-stage system Open image in new window Fig. 3 Normalized deliverable pumping rate with respect to the Womersley number for a single-stage system Open image in new window Fig. 4 Normalized Q − H diagram for a single-stage system.

Approximately 35% of parents (220/662) underestimated actual height by at least 1 inch and 26% by at least 2 inches (mean height difference of -1.10, SD = 3.70), with no significant difference by age group.

By age 10, the mean height difference between individuals with ≤170 versus ≥191 'tall' alleles (the top and bottom 10%) was 4.7 cm (0.8 SD), explaining ∼5% of the variance.

The mean height difference between individuals with 170 or fewer 'tall' alleles (representative of the bottom 10% of individuals' allelic score in our population) and individuals with 191 or more 'tall' alleles (representative of the top 10%) at age 10 is 4.7 cm (or 0.8 SD) (full growth trajectories for simulated 10th and 90th centile individuals are shown in Supplementary Material, Fig. S1).

Plots of the mean height differences at birth, 1, 3 and 10 years, by allelic score show approximate linear relationships (Fig.  1).

Nevertheless, the mean height differences observed between the M-PE and the two ceramic cohorts (C-PE and C-C) were less than one micron.

The mean canopy height difference between samples in each fragmentation class was determined using an analysis of variance ANOVA for all sample points.

This means that height differences among understorey spruces tend to increase when the understorey develops.

There was a strong negative country-level correlation between mean height and the differences in height between the richest and poorest wealth quintile (r  =  −0.4242, p = 0.0014) such that countries that are shorter on average also tend to have smaller gaps in height between the richest and the poorest wealth quintile (Figure 1).

After correcting for differences in percentage of women, lower mean weight, and lower mean height, we observed no difference in survival based on aseptic stem and cup loosening (p = 0.22 and p = 0.07, respectively).