Sentence examples for variation sum from inspiring English sources

Table 7 The Result of ANOVA test for the effect of the number of publications in all and highly cited source titles Source of variation Sum of square Degree of freedom Mean square F value Pr(> F) Between groups 13,988.33 1 13,988.33 106.98 7.39E−25 Within groups 751,787.8 5750 130.74     Total 765,776.2 5751       (F-crit = 3.84).

Detection limit of the method was 0.13 nmol/l, reference range 0.25 1.0 nmol/l, and total variation (sum of intra- and inter-assay variation) was 7%.

For all these cases, the degrees of freedom for the different components of variation sum up to the dimensionality of the shape tangent space and the components of variation define complementary subspaces.

C-peptide was analysed by commercial RIA (MD315, Euro-Diagnostica AB, Malmö, Sweden), total variation (sum of intra-and inter-assay variations) 7%, reference range 0.25 1.0 nmol/l, detection limit 0.13 nmol/l.

Lastly, a raw variation sum score was given representing the number of all possible behaviours (see Table 2) registered during any tasks, varying from 0 to 10 (all 10 behaviours) (V-score).

Lineage-specific nucleotide substitution rate variation (summed branch lengths root-to-tip) for all 26 taxa and 83 CNE genomic regions (after excluding datasets with high proportions of missing data or any missing taxa), was visualised with a Principal Component Analysis (PCA).

Table 5 shows the results obtained using the spreadsheet to use this method Table 5 ANOVA with a significance level of 0.05 and 0.025 Origin of variations Sum of squares Degrees of freedom Average squares F Critical value for F (α = 0.05) Critical value for F (α = 0.025) Among groups 30.0357143 1 30.035714.225.271722 4.225.65858 Within groups 45.2142857 26 1.73901099      .

Table 2 Analysis of variance for the fit of removal efficiency from the central composite design Source of variations Sum of squares Degree of freedom Adjusted mean square F value Regression 7,304.47 14 521.748 12.82 Residuals 651.08 16 40.693 Total 7,955.55 R2 = 0.918, Adj-R2 = 0.847.

Consequently, a multi-objective dynamic cell formation problem is presented in this paper, where the total cell load variation and sum of the miscellaneous costs (machine cost, inter-cell material handling cost, and machine relocation cost) are to be minimized simultaneously.

*: significant P-value for 95% confidence limits, †: degrees of freedom for each source of variation, ‡: sum of squared distances for each source of variation, ∥: model mean square divided by the error mean square In the second part of this work we have analysed the relationship between nBGT levels and gene evolution rates in Buchnera.

The wide variation in sum intensity at probes within the region suggests differences in copy number between strains.