ABSTRACT
Finite populations called survey populations, differ from general statistical populations as they are collections of tangible objects which may be distinguished from one another and separately are identifiable. Thus may consider collections of houses in a city block or the provinces in a state or the states and union territories in the Indian Union or the states and capital territories in the United States of America or the fruit trees in an orchard or the students sitting in a classroom in a university college. Since the finite or survey population engenders concrete distinguishable elements which may be left identified through attaching labels to each possible survey outcome the inferential approach may be made in a way different from the operational method applicable to general statistical results of experiments. In the former situations various alternative inferential approaches are possible making use of the labels in intelligent ways.
