METHODS AND TOOLS FOR CHECKING THE RESULTS OF MEASUREMENTS IN EXPERIMENTAL EQUIPMENT FOR NORMAL DISTRIBUTION
DOI:
https://doi.org/10.55640/Keywords:
Normal distribution, Statistical analysis, Central limit theorem, Measurement results, Descriptive statistics, Statistica program, Gaussian curve, Quality control.Abstract
This article examines the statistical analysis of measured quantities in experimental equipment, specifically their verification using a normal distribution. It provides information on the theoretical foundations of the normal distribution, its important properties, and practical applications. A literature review demonstrates that this distribution is of great importance in statistical analysis, regression, hypothesis testing, and quality control. Using the Statistica program as an example, an analysis of the conformity of measurement results with a normal distribution is conducted using visual and statistical methods. This paper serves as an important methodological foundation for scientific and practical research.
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