In general, when the sample data are independent identically distributed random sample, construction of likelihood function is simple and straight forwards, as the product of the underlying distribution of the data serving as the joint probability function of the sampled data yields thus required likelihood function. However, for sampled data from a finite population, particularly, when without replacement sampling scheme is employed, the analysis of the properties of the obtained random sample is essential, so that the likelihood function of the data is correctly constructed.