In the previous two lectures, we talked about the idea of ANOVA. We see why it is called ANOVA when it is actually used to compare means. As you have already seen, the calculation involved in doing an ANOVA test, even for only three groups, is quite daunting, especially when you want to perform post hoc tests. Therefore, you should always use a statistical software to perform this kind of test in practice. In this lecture, we will have one practical session to showcase how to do ANOVA in R. If you bring you laptop, make sure you install R via the SUSTech CRAN mirror and download the iris flower dataset.