In mathematical terms, a statistical model is frequently thought of as a pair $(Y, P)$ where $Y$ is the set of possible observations and $P$ the set of possible probability distributions on $Y$ . It is assumed that there is a distinct element of $P$ which generates the observed data. Statistical inference enables one to make statements about which element(s) of this set are likely to be the true(s) one.