What is statistical sampling?
Statistical sampling concerns the study of populations by collecting information and analysis. Statistical sampling is the basis for a large amount of information, from estimates of the average height in the nation to the study of marketing to children. Numerous professions use statistical sampling, including psychology, demography and anthropology. Like any study method, however, statistical sampling is prone to errors and it is important to analyze the methods used to perform a study before receiving results. This process begins with the definition of the population that the scientist wants to study and the variable he wants to measure. For example, someone may want to know the average weight of children in elementary school. Furthermore, the scientist decides how to collect the required data. In the previous example, the scientist could travel to school schools, send questionnaires to doctors or parents, or try to gain access to the Health of the Records School. Many scientists try to measure directly than rely on self -realization because in this way the results of the consistency arentní. In other words, the statistical sampling does not include the measurement of the required variables for each individual studied; The selection of individuals is used to generalize the results. In general, the larger the size of the sample, the better the results.
The most common system is random sampling in which the scientist generates a list of random individuals from the central database. Some scientists use cluster sampling in which the population is divided into many small clusters and each cluster is largely studied. Others could use a systematic sampling in which every nth is studied in the population. The most dangerous and unreliable selection system for statistical sampling is the sampling of comfort; Someone standing on the corner of the street with surveys uses sampling of comfort, which can bring highly inaccurate results.
After the data gathering, the researcher analyzes and uses them to create a generalizationpopulation. In studies relying on statistical sampling, the method used is usually clearly detailed, so other scientists can decide whether the method was valid. Invalid method may cause a sampling error that would question the results of the study.