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The effect of GBSSI on chalkiness was large as well, accounting for 4.85 ~ 9.53 and 5.15 ~ 10.34 % of the phenotypic variation on DEC and PGWC, respectively.
However, the covariance residual between these two latent variables had a significant effect, and its effect size was large as well.
For GLUT1, the overall between-study variation was large as well, but substantially smaller for studies investigating membranous staining only and the best evidence studies (these study groups again largely overlapped).
In Cases 2 2 and 2 6, the difference between the average, standard deviation 1, median value, and standard deviation 2 height values was large, as shown in Table 5.
However, when census size was large (as in the captive colony) the precision decreased in the LD method.
Conversely, the range in weights of each criterion was large, as shown by high SDs, which indicated variability among opinions of experts.
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First, quantifying evapotranspiration is very challenging; the observational spread is large as are regional uncertainties.
When K is large there is practically no bias, particularly if ι is large as well.
For large yields the intercept of a regression is large as well.
Effect sizes (Cohens 'd) on these topics were large, as well.
Eggs laid later in a clutch are larger, as are those laid by larger females, and egg size is hereditary.
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CEO of Professional Science Editing for Scientists @ prosciediting.com