Study On Quality Reliability Testing Of Statistical Data And Its Application

As the quality of statistical data related to both the scientific and government departments t o co-ordinate the planning and macro-control time, but also to the interests of all parties involv ed in the micro-economic entities and, therefore, the quality of statistical data and more attentio n of the community, but also on the quality of the data is also presented higher standards and re quirements, and the emergence of a large number of relevant research results. However, compa red with international, especially compared with developed countries, China’s current quality of statistical data there is still a gap. Thus, the use of scientific methods of statistical data quality i nspection system has important practical significance.According to first introduce the theory method, then the logical idea of empirical tests of t he theoretical research and empirical analysis, combing the relevant literature on the basis of th e system, the connotation of quality statistical data to define, interpret statisticaleata, statistical information, statistical data quality and other related concepts and relationships; Further exami nation of statistical data quality approach to design, based on statistical data lognormal law cha racteristic that the accuracy of statistical data quality inspection error analysis method should b e taken, with the exception of data and qualitative analysis combined; The reliability of statistic al data quality inspection places Benford’s law as the basis. In the application of Benford’s Law prerequisite for system analysis, based on the practical application of Benford’s Law redesign a nd select30gross index of31provinces, according to data follow a normal distribution law ch aracteristics, with the composite test methods previously designed for the accuracy and reliabili ty of statistical data empirical test; Finally, from the perspective of statistical data quality mana gement, to enhance data quality management to improve data quality suggestions put forward s ome feasible, highlights the clear quality management objectives and uniform quality managem ent principles of total quality management ideas and develop in order to enhance data manage ment for reference.