The purpose of my presentation is to investigate classical hypothesis testing for the stochastic two-block model with variable size blocks or communities. This model is idealized but enables analysis and provides the basis for more sophisticated models. Our results can be used to determine whether an algorithm purporting to determine two communities is distinct from a randomly generated partition of the graph.