INTEGRATION OF MATHEMATICS AND ECONOMICS: DESCRIPTIVE STATISTICS IN PROBLEMS

Abstract

The article is dedicated to the main aspects of the use of descriptive statistics for solving the economic problems.It is noted that the methods of descriptive statistics are an important tool for analyzing economic processes, as they allow to systematize data, identify the main patterns and draw reasonable conclusions. The key statistical indicators, in particular, average values, measures of dispersion, skewness and kurtosis, as well as their role in economic decision-making are considered. The article also focuses on the use of graphs and histograms to visualize the results of solving problems.Special attention is paid to a practical task aimed at training of the future teachers of mathematics and economics.The article considers the task of economic content regarding the volume of sales by a supermarket of goods of the selected group during one month of sales. The sales analysis was conducted using the Descriptive Statistics tool included in the Analysis Package add-in. The suggested approach demonstrates how the use of descriptive statistics contributes to a better understanding of real economic processes and the development of analytical thinking in students. The effectiveness of the statistical methods in the study of changes in economic indicators, their forecasting and risk assessment is shown on the basis of a specific example.The article contains the conclusions about the peculiarities of implementing an integrated approach in the training of the future teachers of mathematics and economics, about the regularity of choosing the scope of components of the integrative approach, as well as the need to develop the ability of the future teachers of mathematics and economics to interpret and calculate the main statistical parameters to understand the relationship of data and their critical evaluation.The suggested materials can be useful for the teachers of economics and mathematics, researchers, as well as anyone interested in the application of statistical methods in practice.