Abstract
Survey sampling might have different roots, which include various activities in fields such as agriculture, public administration and social studies. Collection of large data sets for public administration and social studies provided great opportunities for the improvement of sampling methods. In this study, the historical progress of survey sampling that leads us to random sampling methods are summarized. Although sampling theory and applications constitute a separate and important branch in statistical sciences, it was definitely not the case in the beginning. The roots of survey sampling lie in official statistics and social statistics, rather than probability theory and experimental design. Especially political arithmetic is the primary activity that leads sampling to modern sampling theory. However, sampling is counted as an important branch of statistical science after probability theory has become an important element of sampling theory. In this study, the period between social statistics and modern sampling theory, especially 1895-1934 era and Kiaer, Bowley, and Neyman milestones, are examined in detail.