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Effects of the repeated intra-gastric administrations of maize proteins accounted for less than 10% of the complete metabolic variance analyzed in this experiment, the main factor accounting for the change in the metabolic fingerprint being the age of the animals.
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Intermediate statistical methods: comparing groups (analysis of variance); analyzing associations (linear and logistic regression); and methods for categorical data (contingency tables and odds ratio).
Full-factor test results, the standard deviations, and analysis of variance were analyzed using the statistical software SPSS 17.0 for Windows; analysis of variance was tested using a least-significant difference (LSD) method.
By specifying MAX, it is possible to do sophisticated variance-estimation type noise reduction processing in which the sensor image data's noise variance is analyzed and the optimum processing is done for each region.
Data were log transformed to account for the heterogeneity of variances and analyzed by analysis of variance (ANOVA) with antenna, scent and dose as within-subject factors.
Variance was analyzed using an F-test.
Approximation error variance was analyzed for various approximation ranges.
The experiments and the analysis of variance (ANOVA) analyzed the effects of several factors on mechanical properties.
Homogeneity of variance was analyzed using the Levene's test.
The significance of the reduction in variance was analyzed by fitting a second order polynomial line to the longitudinal distribution of each bacterial group for each individual earthworm analyzed.
The homogeneity of variance was analyzed with the Levene test.
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