Statistical analysis of the results of determining actual chemical composition of agricultural raw material

Researches included grounding of classification of phytogenous raw material considering operating normative, terminological docu-ments, principles of products classification according to which the statistical information regarding its production and turnover is formed. According to the worked out researching scheme based on analyzing specialization of agrarian production of Ukraine we defined actual chemical composition of raw material and studied peculiarities of the impact of a number of factors on it, namely, grading factors, weather as well as climate and environmental conditions of planting. For the purpose of confirming the authenticity of the data on actual content of basic food nutrients of agricultural raw material, receiving reference material with the high-grade accuracy we conducted the system analysis applying the statistical methods. The analysis of statistical processing of the data of indexes of chemical composition of raw material on the example of white-haired cabbage showed that according to the received re-sults the dispersions were homogeneous under Cochran’s Q test. We conducted statistical processing of the indexes of chemical composition of different types of raw material according to the formed database.