Sentence examples for the source of variance from inspiring English sources

When P < 0.05, Tukey's multiple comparison post hoc tests were performed to determine the source of variance (P < 0.05).

We used the ANOVA F test to identify the source of variance, be it a product, subject or period effect.

Lack of replicate analyses hampers understanding of the source of variance and of the shape of the frequency distributions of mutations.

The TMV method allows one to partition the source of variance of reaction norms among types into these three separate categories (plus error): horizontal shifts, vertical shifts, and generalist-specialist trade-offs.

In contrast considering individual infants data as the source of variance, there was no significant response to phase-scrambled images at electrode P8 (SNR range = 0.11 1.93; t(9) = 1.156, p = 0.278; Figure 5B, see also Figure 5 figure supplement 1 for data in amplitude, also showing the second harmonic at 2.4 Hz).

In the present study, we employ a longitudinal design and a generalizability framework to examine the sources of variance in the diurnal rhythm of salivary α-amylase (sAA).

The aim of this study is to compare the primary outcomes of the available treatment methods and identify the sources of variance among studies.

The approach is also informative about the sources of variance in a party's territorial support: relatively stable district attributes account for static nationalization, while features unique to the electoral cycle account for dynamic nationalization.

In this methodological work, we summarize some formal properties of the design of these studies, and investigate the sources of variance that characterize data acquired with the arterial spin labeling technique, with the purpose of alerting users to the main sources of variation that determine background variance and affect the power of statistical tests.

Eigen values greater than 1 were taken as criterion for selection of the principal components required to explain the sources of variance in the data of pineapple yield (Ammer et al. 2006).

However, the appropriate application of MS for this purpose requires a detailed understanding of the sources of variance in mass spectrometric data and use of advanced computational methods[12].