Comparison of c means in one-factor ANOVA is the same as using c repeated t-tests.
Hartley's test measures the equality of the means for several groups.
1. Comparison of c means in one-factor ANOVA is the same as using c repeated t-tests.
This is incorrect. The reason is that completing several t-tests increases your family wise error, while completing a single ANOVA does not. For example, imagine we want to know if the number of tricks a dog can do differs by breed. We select 3 breeds of dogs (poodles, dalmatians, and spaniels) and draw a random sample of each. With an ANOVA, we can compare all three of those breeds in a single analysis and know whether they are different from one another. If we get a significant F, we ...
The solution uses ANOVA and Hartley's test comparison for the c mean in one-factor tests.