why do anova instead of multiple t tests?
One-way ANOVA (cont...) By running two t-tests on the same data you will have increased your chance of "making a mistake" to 10%. ... An ANOVA controls for these errors so that the Type I error remains at 5% and you can be more confident that any statistically significant result you find is not just running lots of tests.