We can actually deduce here that the circumstances under which you should use anova instead of t-tests is whenever you want to avoid an increase in error during the use of a t-test when comparing more than two population groups, then you can use ANOVA.
What is ANOVA?
ANOVA is actually known to be "Analysis of Variance". It is known to be a collection of statistical models which are used during the analysis of the difference in means. It was actually developed by Ronald Fisher, a statistician.
We see here that when one wants to avoid increase in error, it is advisable to use ANOVA instead of t-test.
Learn more about ANOVA on https://brainly.com/question/25800044
#SPJ4
