Sentence examples for requirements of normality from inspiring English sources

In order to fulfill the regression requirements of normality and homoscedasticity, each experiment was analyzed separately.

Traits failing the requirements of normality in the Kolmogorov Smirnov test were transformed through a logarithmic transformation and retested for normalcy.

Comparisons were made using Friedman Rank Sum Tests as implemented in the Stats package for the R software version 2.7.1 [ 12], as the parametric model requirements of normality cannot be assumed.

Due to a general deviation from the requirements of normality of most variables, non-parametric univariate statistics (Mann-Whitney, Kruskal-Wallis) were used for univariate analyses, and Classification Tree for multivariate analyses.

The effects of the manipulations were determined by entering these percentages, after arcsine transformation 6 to meet the requirements of normality, into a repeated measures analysis of variance (ANOVA) with the factors Velocity Ratio (eight levels) and Manipulation (three levels) for each group.

Data analyses accounted for the skew of the dependent variables through the use of tobit regressions, the data were log transformed to meet the requirement of normality of the non-censored scores as recommended by Osgood [ 48].

As plasma AMH concentration failed to accomplish the requirements of residuals normality and homoscedasticity, its values (expressed in pg/mL) were transformed to decimal logarithms (log10[AMH + 1]) prior to ANOVA tests.

Similarly, the repeated assertions [ 71, 72, 76, 77, 80, 81] that the objective of such data manipulations are model (in particular, OLS) requirements for normality of the dependent variable are problematic.

However, here the ANOVA does not satisfy the requirement for normality of the residual errors of the model, using a Jarque-Bera test (P<0.01) [33].

The prerequisite for establishing the ARMA model is that the load data satisfy the requirements of stationarity and normality.

In characterizing Scr antimorphy in vivo using full-length proteins, data for number of sex comb bristles on the T1 leg were log10-transformed to meet the requirements of homoscedasticity and normality and then analyzed using a one-way ANOVA.