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Geophysical imaging by using attenuation property of multichannel seismic reflection data was tested to map spatial variation of physical properties of rocks in a volcanic area.
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These data were tested to ensure a breadth of representation of individuals (particularly older and disabled people) in terms of anthropometry, joint constraints, postural capabilities and task behaviours.
Next, the predictive capacities of four models, with and without prey distribution data, are tested to determine whether dolphin habitat selection can be predicted without recourse to describing the distribution of their prey.
Using an ROC curve, the data were tested to identify a cut-off value of CRP which could suggest whether subjects at baseline would be euthymic or in an episode.
All data were tested to be normal distributed by means of Kolmogorov-Smirnov test.
Initially all the data were tested to determine if the results were normally distributed.
The percentage data were subjected to arc-sine transformation and the transformed data were tested to verify ANOVA assumptions before being analyzed with ANOVA.
Data were tested to be normally distributed by the Kolmogorov Smirnov test.
Then, the measured pullout strength data were tested to prove the accuracy of the Chapman's formula in predicting the pullout strength of various pedicle screws.
Therefore, cell lines from four families harboring the three CNVs with the strongest evidence from the genotyping data were tested to identify fusion transcripts.
As the study was a factorial design, the data were tested to ensure there was no interaction between taking calcium and being allocated to being either offered/not offered the results of the trial.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com