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The variances between the specimens were very high, particularly on the weaving frames (Table 1).
The variances between the rates of sepsis occurrence could be explained by the different patient populations in the references.
= 0.160 (> 0.05), the variances between age groups are equal, and ANOVA could be used.
= 0.001 (< 0.05), the variances between age groups are unequal, and one-way ANOVA could not be used.
The spatial dependencies of the data are also shown in the variances between the estimations, which provide a measure of uncertainty in the interpolation values.
To control for covariates (nuisance variables) that could contribute to the variances between PPTH and migraine, an analysis of covariance (ANCOVA) was performed on each brain MRI metric that significantly differed between patient groups via t-test.
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This level describes the variance between-persons.
The variance between subjects was still very low with the 95% confidence levels at around 3°.
The variance between the replicates from each cell line was relatively small (s.d. = 0.78%).
The variance between tissues was significantly larger than that between replicates (Wilcoxon's rank sum statistic: p<0.0001).
The variance between clusters was then taken to be 0.01.
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