On another method for assessing effectiveness indicators of emergency response
DOI:
https://doi.org/10.56143/2181-2438-2025-4-182-184Keywords:
statistics, statistical hypothesis, critical point, table of critical points, critical region, t-statistics criterion, (criterion), service channels, absolute system throughput, relative system throughput, probability of system failure, Student's distribution, table of critical points, degree of freedom of the parameterAbstract
This article examines the application of statistical hypothesis testing to the comparison of average fire and rescue unit performance indicators. To test the hypothesis presented in this article and determine the critical point with a specified accuracy, a Student's t-distribution table of critical points was used. The article analyzes how individual fire and rescue unit performance indicators changed over a certain period of time when changes were made to the organization of fire and rescue units, such as equipping units with new types of fire and rescue equipment, implementing preventive measures, in particular, monthly fire safety events, making changes to the organizational structure of units, etc. A method for determining whether performance indicators have changed positively or negatively is developed. This article examines the application of hypothesis testing to the comparison of average fire and rescue unit performance indicators.
