Sentence examples for distribution were compared from inspiring English sources

Three methods of survey distribution were compared: paper survey distributed by mail, Web survey announced by mail, and Web survey announced by e-mail.

Scores which were not normally distributed and which could not be transformed to approximate a normal distribution were compared using the Mann–Whitney U test.

Trends in distribution were compared to summer and winter sea surface temperatures (SST).

Data sets following a normal distribution were compared with Student's t test (two-tailed, unequal variances) or a one-way analysis of variance (ANOVA) with Dunnett's multiple comparisons post-test in Prism5.

The data that did not follow a normal distribution were compared using Mann–Whitney's test or a non-parametric ANOVA (Kruskal Wallis with Dunn's multiple comparisons post-test) using Prism5.

Conversion and product distribution were compared to that of the corresponding reaction starting from CO or methanol instead of CO2.

The obtained results of calculated strain and stress distribution were compared with those obtained from numerical calculations using the ANSYS software.

Continuous variables with normal distribution were compared between the treatment group and the placebo group by two-way analysis of variance (ANOVA) taking into account stratification by GA if homogeneity of variance was verified, and by Student's t-test if ANOVA failed to show any effect of GA.

In addition to statistical adjustment, body composition and abdominal fat distribution were compared between sub-samples of pre- and postmenopausal women matched for either age (n=14; premenopausal: 49±2 vs postmenopausal: 50±3 y) or fat mass (n=40; premenopausal: 22±6 vs postmenopausal: 22±7 kg).

Deflection and stress distribution were compared from small to very large deformations.

Parameters that did not have a Gaussian distribution were compared between groups using the nonparametric Mann-Whitney U-test.