We consider distribution-free property-testing of graph connectivity. In this setting of property testing, the distance between functions is measured with respect to a fixed but unknown distribution D on the domain, and the testing algorithm has an oracle access to random sampling from the domain according to this distribution D. This notion of distribution-free testing was previously defined, and testers were shown for very few properties. However, no distribution-free property testing algorithm was known for any graph property.We present the first distribution-free testing algorithms for one of the central properties in this area-graph connectivity (specifically, the problem is mainly interesting in the case of sparse graphs). We introduce three testing models for sparse graphs:• A model for bounded-degree graphs, • A model for graphs with a bound on the total number of edges (both models were already considered in the context of uniform distribution testing), and • A model which is a combination of the two previous testing models; i.e., boundeddegree graphs with a bound on the total number of edges.We prove that connectivity can be tested in each of these testing models, in a distribution-free manner, using a number of queries that is independent of the size of the graph. This is done by providing a new analysis to previously known connectivity testers (from "standard", uniform distribution property-testing) and by introducing some new testers.