Sentence examples for homogeneity of values from inspiring English sources

The variety of variables that could be included is vast, but some clearly important issues include: language, secularism, freedom of the press, access to information, homogeneity of values and attitudes, and the existence of a national figurehead or identity.

In data sets where there was no homogeneity of variance, values were log transformed prior to analysis.

As the transcriptomic chips Operon© are embedded with probes targeting the same gene, we compared the homogeneity of EV values (EV≥1.28 EV occurrence≥4/6) of duplicated genes present on the array.

Homogeneity of the values was tested with Levene test for equality of errors in variances and normality of residues was verified by the Shapiro-Wilk test.

This may have to do with high between-subject homogeneity of displacement values for these two muscles in a healthy population, which might lead to underestimate the reliability of the measure if using ICCs only.

Scenario III intends to obtain a coverage rate of 100%% for a capacity of 54 Mbps with a minimal installation cost, minimal median exposure values, and a high spatial homogeneity of the field values.

The discrepancy between e incompl, K (s ) and e full, K (s ) depends on how strongly the specific preliminary step conducted on the whole dataset increases the homogeneity of the covariate values across observations and (for supervised preparation steps) the empirical association between the covariate values and the values of the target variable.

But in order to keep things as simple as possible we assume homogeneity of costs and values across players.

Table 6 Homogeneity of spiking – mean values of six samples taken at different locations of the soil spiked with Ag nanoparticles (dry application with soil as the carrier) Nanomaterial Measured concentration [mg/kg]1 Recovery Standard deviation Solid Ag - 100 mg/kg 80.4 ± 3.1 80 3.9 Solid Ag - 10 mg/kg 7.5 ± 0.8 76 10.7 1 All concentrations refer to soil dry mass.

Graphical diagnostics in R were used to confirm normality of errors (normal-probability plots) and homogeneity of variances (fitted values vs. residuals plots).

The results of an evaluation of relative validity depend on several factors, including choice of reference method, degree of homogeneity of the intake values within the population, recall period, and the number of days of record collection [30].