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The mean is associated with the interdependency of the source signals and the variance characterizes statistical uncertainty of each single measurement.
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For the biological data, first we will compare the variance characterized using the different approaches.
The sole effect of not mean-centering the dataset is that the first PC will span the variance characterized by the overall distance of the dataset from the origin [ 15].
The second moment, or variance, characterizes the degree to which observations deviate from the mean; the third moment, the skewness of the distribution of observations, was clarified earlier; and the fourth moment, the 'peakedness' or height of the distribution compared to the length of its tails.
Indeed, even within females, for which differences between ideal and actual partner's body shape are null on average, the large variance characterizing the distributions of these differences illustrates a high mismatch between preferred and actual partner's characteristics for a given individual.
While means vary for different types of users due to the differences of their total activity level, variance characterizes how broad or narrow the distribution is, i.e., how strongly the activity density varies over the area of the city covered by the considered user activity.
Because MR images are reconstructed using the Fourier transform, the variance that characterizes the uncertainty due to thermal noise is constant throughout the imaging volume.
In our study, we could only estimate the variance that characterizes the uncertainty of the MR measurement due to thermal noise.
Changes in species composition were significantly and uniquely related to agricultural pressures, whilst the variance component characterizing HYMO effects was not significant, confounding separation of unique pressure effects.
30 A 4-factor solution, accounting for 82% of the variance, best characterized the data, as indicated by eigenvalues greater than 1.0, high factor loadings of items on their respective factors (>.50), and low loadings on all other factors (<.35).
Such syndication of popular national figures surged as cost-cutting diminished the variance that once characterized small- and medium-market morning programs.
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