STATISTICAL ASSESSMENT OF OCCUPATIONAL SAFETY TRAINING OF WORKERS IN ROAD CONSTRUCTION IN MOUNTAIN CONDITIONS

Abstract

Abstract: The article discusses issues related to methods for statistical assessment of occupational safety knowledge of workers in the field of road construction in mountainous conditions. Statistical processing of data obtained during an independent intellectual experiment (survey) of individuals from different groups, presented in [6], was carried out. A model was used based on testing the hypotheses of equality or difference of the distributions of the partial sets obtained from the survey results. Two models were proposed and implemented, including algorithms for testing hypotheses of equality (difference) of two mathematical expectations. They have solved two main types of tasks for assessing knowledge of safe working conditions in road construction activities in mountainous conditions, namely, testing the hypotheses for equality or difference of the parameters and distribution laws on data obtained after direct surveying of the sections of each of the assessed groups (training) and testing the hypotheses for equality or difference of the parameters and distribution laws for random variables (samples) in the absence of a priori information about the source of the initial data (recognition). Based on the theoretical considerations presented in the article and the practical implementation of the developed models, findings and conclusions have been made regarding the statistical assessment of the knowledge and training of workers in the sector under consideration and the specific features of the application of the proposed models.