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The analysis of distributions for AdR shows that the majority (about 90%) of molecules have the height of about 1.4 2.2 nm (Figure 3d), with the height maximum (hmax) that corresponds to ρ(h AdR maximum at 1.8 ± 0.2 nm.

We utilized the Statistical Package for Social Science (SPSS®, Version 17.0) for data analysis and first performed a descriptive analysis of distributions, means, medians, and proportions to characterize demographics of the study participants.

For example, spatial analysis of distributions, as applied in this paper, can investigate who, in society, may be more or less capable of attaining, for example, biogas and, by extension, who might need to be targeted/supported, and where, to facilitate capability and functioning in fair ways.

The analysis of distributions for Ad (Mr = 13 kDa) shows that the majority of molecules (about 90%) have the height of about 0.8 1.8 nm (Figure 2b), with the ρ(h Ad maximum at hmax = 1.0 ± 0.2 nm < calculated from Eq. 2. Bearing in mind that the MrAd (13 kDa) < MrAdR (50 kDa), it was inferred that the objects with the ρ(h) maximum at hmax = 1.0 ± 0.2 nm (Figure 3b) are Ad monomers.

Our methods involve use of three different measures: analysis of base calls; analysis of k-mers; and analysis of distributions of k-mers.

Monte-Carlo analysis of distributions around transition rates can be used to examine parameter uncertainty.

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Statistical analysis of distribution curves is represented in Table 3.

Analysis of distribution of feature values revealed that they contain significant inter-personal differences.

This section illustrates the analysis of distribution network response based on variable weather conditions.

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