When a significant F was obtained, the Tukey post hoc test was used to identify any significant differences.
When a significant F was obtained the Tukey post hoc test was used to identify significant differences.
The significant F was P < 0.05 with a model F value of 19.94 which revealed that this regression is statistically significant.
CROSS-BORDER TRANSACTIONS There were two significant F's this year.
When a significant F ratio was achieved, differences were then located using the least significent difference post hoc test.
When a significant F value was detected, this was analyzed further against the baseline value using Bonferroni's post hoc test.
When a significant F ratio was defined by ANOVA, groups were compared using Fisher's protected least significant difference post hoc test.
When a significant F ratio was achieved, post hoc analysis was utilized to make individual comparisons.
When a significant F ratio was obtained, differences between the means were isolated for the specific factor (and for all factors in case of significant interaction) with the post hoc Tukey multiple comparison test.
When a significant F value was detected, Tukey Kramer's multiple range test was used to determine differences among microbial populations and plant parameters of the different trials (significance level P < 0.05).
If a significant F value was obtained, then Tukey's multiple comparison was used as a post hoc test for the appropriate data sets.
