Measurement and Analysis of Differences in The Impact of The Implementation of Large-Scale Social Restrictions (PSBB) Based on The Mann Whitney Test

This research is a non-parametric statistical measurement form which use the Mann Whitney Test. The aim is to determine whether or not there are differences in the impact of the implementation of the PSBB as a result of Covid-19 pandemic in the Surabaya, Gresik and Sidoarjo areas through the distribution of questionnaires and interviews, a sample of 134 people who were distributed in the 3 regions obtained. From the results of repeated simulations, measurements and testing to answer existing hypotheses, it can be seen that there are 3 things that are the conclusions of this study. The first conclusion, that there is no difference in the impact of the PSBB implementation in the Sidoarjo and Surabaya areas, which use α = 5%, the value obtained Zcount = -0.65745 is higher than Ztabel = +/- 1.96. It is in the receiving area which means H0 or the hypothesis that there is no difference in the impact of the PSBB implementation between Sidoarjo and Surabaya areas cannot be rejected. The second conclusion, that there are differences in the impact of the PSBB implementation in the Surabaya and Gresik areas with the result that the value of Zcount = -2.28792 is lower than Ztable. The same thing happened in the third test, there was a significant difference in the impact of the PSBB implementation in Sidoarjo and Gresik areas. Furthermore, in the descriptive analysis, there are several factors were found which effect the three tests result, as follows: geographic, demographic, social, cultural and employment factors.

A Statistical Measurement of Randomness Based on Pattern Vectors

Randomness of data or signals has been applied and studied in various theoretical and industrial fields. There are many ways to define and measure randomness. The most popular one probably is the statistical testing for randomness. Among the approaches adopted, Runs Test is a highly used technique in testing the randomness. In this article, we demonstrate the inefficient aspects of Runs Test and put forward a new approach, or pattern-vector-based statistic, based on pattern vectors that could effectively enhance the precision of testing randomness. A random binary sequence is supposedly to have less or no patterns. Based on this, we put forward our randomness-testing statistic. We also run an experiment to demonstrate how to apply this statistic and compare the efficiency or failure rate with Runs Test in dealing with a set of randomly generated input sequences. Moreover, we devise a statistically-justifiable measure of randomness for any given binary sequence. In the end, we demonstrate a way to combine this new device with Kalman filters to enhance the data assimilation.

The System for Statistical Measurement of Digital Economy Parameters: Development Trends

The main challenges faced by statistical activities under the pressure of the global dissemination of digital technologies are outlined. The need for constructing a comprehensive system for measurement of digital economy parameters is demonstrated, and the requirements with which it has to comply are set. The principal trends of the process involved in the development of the system for measurement of digital economy parameters are determined. The need for elaboration, implementation and formalization of the metadata laying the ground for constructing the system for statistical measurement of digital transformations, and for making the relevant regulatory base is substantiated; the difficulties involved in this process are outlined. A comparative description of the views held by proponents and opponents of change in the traditional conceptual framework for measurement of economic parameters in the new conditions is given. Problems are highlighted that are associated with constructing a new model of statistics for the digital economy, supposed to integrate all the existing methodical and methodological elaborations in the field of information society’s statistics, on the one hand, and offer new approaches to statistical measurement of various aspects of digitalization, on the other. Main problems related with creating an appropriate information base for constructing the indicators that would report on digital economy components are determined, with outlining ways for their solution. The essential types of efforts on modernization of technological facilities in the official statistics system are shown. Change in the pattern of the demand for statistical information is described, and ways to improve feedback of statistical information users are proposed. It is justified that the staff of statistical offices needs to build the competencies required for design of digital technologies and their use in the professional activities; recommendations on the content of training and professional development programs are given. It is demonstrated that practices of digital economy measurement and dissemination of its results need to be globally standardized; the role of international organizations in optimization and standardization of various processes involved in the production of official statistics at national and international level is highlighted. Potential areas of future efforts in constructing the system for measurement of digital economy are outlined.