Sentence examples for normality testing from inspiring English sources
Two-group comparisons of continuous data were made with the unpaired t test or Mann-Whitney test depending on whether or not the data passed normality testing with the D'Agostino-Pearson test.
Group comparisons of continuous data were made with one-way analysis of variance and Tukey post-test, or the Kruskal-Wallis test and Dunn's multiple comparison test depending on whether or not the data passed normality testing.
Assessing the normality of the residuals does not offer clarification of this fitting issue, as the distribution of residuals fails normality testing even for a single-exponential fit of 100,000 simulated bout durations drawn from a single exponential distribution (not shown).
Following normality testing, non-parametric methods were used to compare continuous data (Mann-Whitney U-test).
Following normality testing, independent t tests and a Mann–Whitney U test were used to compare continuous data.
For data that passed normality testing, differences between groups were analyzed by One Way Analysis of Variance (One way ANOVA) followed by pair wise testing using Bonferroni's adjustment.
The variables were normally distributed (tested by the normality test).
The normality test showed that all data were normally distributed.
Statistics: Normality test: KS.
