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VERIFICATION OF THE VACCINATION PROCESS USING PREARSON’S CHI-SQUARE GOODNESS-OF-FIT TEST

Authors

Hamdamov Ahad Hamroyevich Tashkent State University of Economics Lecturer, Department of Higher and Applied Mathematics Phone: +998 99-876-51-14 e-mail:[email protected] Author
Maxmatqulova Hikoyat G‘iyosiddin qizi Tashkent State University of Economics Lecturer, Department of Higher and Applied Mathematics Phone: +998 88-035-08-96 e-mail:[email protected] Author

Keywords:

Vaccine, vaccination, hypothesis, critical region, criterion, theoretical distribution, empirical observation, Kolmogorov’s goodness-of-fit test, Pearson’s chi-square goodness-of-fit test.

Abstract

In this article, vaccination indicators collected from various regions of the country over the past three years (2022–2024) were selected as the object of study. The data were compiled based on open statistical databases of the Ministry of Health and reports from district medical associations. The observed values were grouped by the number of vaccinated individuals, the share of unvaccinated individuals, cases of revaccination, and age categories. Theoretical probabilities for each group were determined based on medical standards and the epidemiological dynamics of previous years, and the degree of conformity was calculated using the χ² (chi-square) formula.

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