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Genes which receive signals from many parallel paths exhibit normal statistics while genes which lie at the end of a single pathway are prone to large statistical variations and highly skew statistics.
Therefore we can conclude that the differences observed in our study are significantly larger than the statistical variation in baseline PDE10A BPND levels.
This is due to the fact that HRS can still be much higher than LRS, in spite of large amounts of statistical variation in LRS and HRS [9].
This is due to the fact that HRS can still be much higher than LRS, in spite of the large amount of statistical variation in LRS and HRS.
Continuum theory may be applied when there is a sufficiently large sample size to ensure that statistical variation of material quantities, such as density, is small.
That means these networks are representatives of the larger networks, within statistical variations.
In addition to these errors, experimental data are also influenced by the expected statistical variation due to heterogeneity of a large sample set.
Under the same bending conditions, the Weibull modulus (m) defines a statistical variation based on the probability of failure, where a larger variation causes a lower m.
A large value of χ test relative to its degree of freedom or a low p value indicates statistical variation (heterogeneity) beyond chance.
Even the ones subject to statistical variation.
The match rules specified that small differences were not considered significant because of statistical variation.
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