Sentence examples for multiple comparison as from inspiring English sources

SPSS (Statistical Product and Service Solutions) 19 software and LSR (least significant ranges) multiple comparison as well as Excel 2003 software were used to calculate the average and standard deviation of the SKCS hardness index, and to examine statistical significance among various Puroindoline-Dl alleles.

To further determine if the parametric statistical analyses agreed with non-parametric statistical analyses Kruskal Wallis test followed by Dunn's multiple comparison as well as Mann–Whitney U-test was used to confirm or reject the results from the parametric analysis.

Statistical analysis used repeated-measures for NRS score analysis of variance (RM-ANOVA) and Bonferroni t test (all pairwise multiple comparison) as least significant difference test.

Statistical analysis was performed using One-Way ANOVA with Bonferroni's Multiple Comparison as post test if the data followed a Gaussian distribution.

All parametric data were analyzed by unpaired t-tests or ANOVA Bonferroni's Multiple Comparison as appropriate; post hoc comparisons were made by Student Neuman Keuls tests.

For comparison of means, we used Student's t-test and ANOVA with Tukey multiple comparison as a post hoc analysis.

The principal statistical test was Students' t-tests, Mann–Whitney U tests (for non-Gaussian distributed data) or the Tukey Kramer tests (multiple comparisons) as appropriate.

Statistics performed using t-test or two-way ANOVA and Bonferroni's test for multiple comparisons, as appropriate.

Post hoc analysis was carried out with the Student-Newman-Keuls test or Mann-Whitney U test with the Bonferroni correction for multiple comparisons, as appropriate.

Data were analyzed by one-way ANOVA, followed by Student-Newman-Keuls, or by Kruskal-Wallis followed by Mann–Whitney U test with the Bonferroni correction for multiple comparisons, as appropriate.

For other data, statistical significance was determined using the unpaired t test or one-way ANOVA corrected for multiple comparisons as appropriate.