Analýza spolehlivosti vybraných statistických testů pro porovnání znaků kvality

Abstract

This diploma thesis focuses on the analysis of the reliability of selected statistical tests used in the field of quality management. Using a simulation model, both parametric and non-parametric tests (t-tests, Wilcoxon test, rank test, and binomial test) were compared in terms of their statistical power under varying conditions – particularly with changes in sample size, mean difference, and variance. The results show that the choice of an appropriate test depends on the type of data and the analytical context. The thesis provides a clear comparison and practical recommendations that can support decision-making within quality management systems.

Description

Subject(s)

statistical tests, testing of statistical hypotheses, reliability, probability of type 1 and type 2 error, test power, significance level, t-test, Wilcoxon test.

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