What are post-hoc tests in statistics?
An example of an AI chatbot conversation about post-hoc tests in statistics.
What are post-hoc tests in statistics?
Post-hoc tests are statistical analyses conducted after an ANOVA to determine which specific group means are different.
Why do we need post-hoc tests?
We use post-hoc tests to identify where the differences lie between groups after finding a significant ANOVA result.
Can you give me an example of a post-hoc test?
Sure! The Tukey's HSD (Honestly Significant Difference) test is a common post-hoc test used to compare all possible pairs of means.
How do I choose the right post-hoc test?
Choosing the right post-hoc test depends on your data characteristics, such as the number of groups and whether the data meets certain assumptions.
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