MODERN NUMERICAL METHODS OF ANALYSIS OF STATISTICAL DATA IN THE SCHOOL COURSE

Abstract

Mathematical modelling of practical statistical problems is a current topic in the school course, related to the development of various approaches and methods of modern solutions to many practical problems. The purpose of mathematical statistics is the development of methods of statistical observation and the collection and analysis of statistical data. The given article shows several numerical methods for studying mathematical statistics in the school course: measurements of central tendency, measurements of position, measurements of dispersion. Measures of central tendency indicate the “center” of the data along a number line and are usually reported as values representing the data. There are three common measures of central tendency: the arithmetic mean, the median, and the mode. Position metrics represent the three most basic positions in a list of numeric data, ordered from smallest to largest: start, end, and middle. In addition to these, the most common measures of position, quartiles and percentages, are also presented. Measures of dispersion show the degree to which the data are spread out. Among the measures of dispersion of the statistic, the rank, interquartile range, and standard deviation are presented. The practice of solving statistical problems serves to develop the skills of using probabilistic statistical concepts and methods at school, so the work presents the brief content of each method, calculation formulas, and examples.