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How do you write a non-significant ANOVA result?
When reporting non-significant results, the p-value is generally reported as the a posteriori probability of the test-statistic. For example: t(28) = 1.10, SEM = 28.95, p = . 268.
How do you know if ANOVA results are significant?
In ANOVA, the null hypothesis is that there is no difference among group means. If any group differs significantly from the overall group mean, then the ANOVA will report a statistically significant result.
Is it possible to find non-significant result from one-way ANOVA analysis?
Is it possible to find non-significant result from one-way ANOVA analysis (p=.224), yet find differences in the post hoc test (Dunnett’s T3 test between groups results? like p=.039 (p<.005)? I understand I am supporsed to run a post-hoc test only if I find a statistical difference in the Anova test first.
Can a global ANOVA F test be significant?
It is well known that a global ANOVA F test can detect a difference of means even in cases where no individual [unadjusted pairwise] t-test of any of the pairs of means will yield a significant result. so apparently it is possible, but I do not understand how.
Is the difference between Tukey and ANOVA significant?
But the largest distance (between the outside groups) is the same. That means the smallest p-value in Tukey HSD test will not be different for those two cases while the ANOVA p-value does differ. So for the experiments with the 5% largest significant differences, you do not get the 5% largest F-scores (or vice versa).
Can ANOVA be significant when none of the pairwise t tests is?
The opposite is clearly possible: overall ANOVA can be non-significant while some of the pairwise t-tests erroneously report significant differences (i.e. those would be false positives). My question is about standard, non-adjusted for multiple comparisons t-tests.