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Within the variability of the experimental data, projected toxicity matched experimentally determined effects [see Supplemental Material, Section 4.5 and Table 6 (doi:10.1289/ehp.1002757)].
This result was attributed to the high environmental variability of the experimental sites combined with a low sensitivity of Mytella guyanensis to diesel oil at short time-scales.
Fine-scale soil variability of the experimental site can reduce statistical power and should be determined in order to optimize the experiment design.
Consequently, most of the effects of biochar application were masked by the soil variability of the experimental site when analysed in a nested design with randomization.
Since fine-scale variability of the experimental site can reduce statistical power, efficiency gains in the experimental design can be achieved if this variation is known and used to design blocking, or some proxy variable is used as a covariate.
Model performance is assessed using a novel objective function accounting for the statistical variability of the experimental data set, while putting equal emphasis on both small and large time scale behaviours.
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Finally, the paper addresses the viability of proposing a new parameter for quantifying deflections and cracking without relying on the tensile strength of concrete, thus avoiding the high variability of this experimental parameter.
In addition, for appropriate interpretation of the results from a set of experiments conducted over a longer time span, it is also essential to know the variability range of the experimental set-up over this period.
Then, other cycles are presented to show the variability of the obtained experimental data.
However, there is some variation in the results from sample to sample, reflecting a degree of variability in the experimental setup.
The significance of variability among the experimental groups was determined by Mann–Whitney U test.
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