Bonferroni t-test

Bon·fer·ro·ni t-test

(bōn-fer-rō'nē test)
Statistical technique using Bonferroni inequality to isolate differences between comparisons; describes error rate for all comparisons taken as a group.
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Differences among groups were analyzed using one-way analysis ofvariance (ANOVA) for multiple comparisons and a Bonferroni t-test using SPSS statistical software.
Mean difference, standard error, levels of statistical significance in post-hoc comparisons between the 3 groups, using the Bonferroni t-test are shown in Table 2.
Mean difference, standard error, levels of statistical significance in post-hoc comparisons between the 3 groups, using the Bonferroni t-test Group 1 vs Groupl vs Group 2 vs group 2 group 3 group 3 FEV1(%predicted) Mean difference -43,64 * -45,04 * -1,4 Standard error 3,29 3,29 4,12 P value 0.
Statistical analysis began with a two way ANOVA using experiment as one factor, and dose as the second factor for length comparsions, followed by Bonferroni t-test multiple comparisons
A Bonferroni t-test was used to determine significant differences from controls for embryo length comparisons.
tratado * P < 0,05 ANOVA test y Bonferroni t-test.
Los datos parametricos fueron analizados por ANOVA y los no parametricos por la prueba de Kruskal-Wallis y los resultados corroborados por Bonferroni t-test y Mann-Whitney Utest respectivamente.