Sentence examples for distributed traits from inspiring English sources

Tests for association between genotypes and quantitative traits were performed using Kruskal Wallis analysis of ranks for traits with non-normal distributions, or alternatively, anova for normally distributed traits.

Genotype and phenotype intergroup comparisons by means of all variables were performed using one-way ANOVA with Tukey's test and, Student t-test for normally distributed traits, analysis of ranks for traits with nonnormal distributions with Kruskal-Wallis and Mann-Whitney U test, as appropriate.

National evaluations often use linear models for normally distributed traits or nonlinear models for traits with non-normal distributions, but international evaluations are usually restricted to linear models for simpler computing.

Genotype intergroup comparisons by means of all variables were performed by using Student's t-test, one-way ANOVA for normally distributed traits, and analysis of ranks for traits with nonnormal distributions with Kruskal-Wallis or Mann-Whitney U tests, as appropriate.

Data in non-normally distributed traits were transformed to the natural logarithm to give a normal distribution before the statistical analysis was performed.

Data in non-normally distributed traits were transformed to the natural logarithm for obtaining a normal distribution before performing statistical analysis.

Following the concept of an underlying normally distributed trait in the threshold model, normal distribution were assumed for 1/ R' and 1/ γ.

Salient questions include: Is it a late evolved, narrowly distributed trait, or an older more broadly shared trait?

To maintain the same power, a one standard deviation (SD) in measurement error of a standard normal distributed trait required a one-fold increase in sample size for comparison of means, and a three-fold increase in sample size for comparison of variances.

Mann-Whitney U Tests were applied because vaginal opening was probably not a normally distributed trait in mice.

The standard assumptions of quantitative genetic models apply (normally distributed trait values, random mating, constant additive genetic (co- variances, and weak seleco- variances