EVALUATING NUTRITIONAL EFFECTS IN TWO GROUPS OF PET DOGS USING AN UNEQUAL-VARIANCE t-TEST WITH IMPRECISE DATA
Keywords:
t-test, population, sample size, inference, uncertaintyDOI:
https://doi.org/10.17654/0973514326003Abstract
The existing t-test under classical statistics is used when all observations in the data are determinate. In case of uncertain and imprecise observations, the existing t-test cannot be applied. In this paper, a t-test for two populations when variances are unknown and unequal in practice will be introduced when the data has imprecise observations. The test statistic will be introduced for imprecise observations. The testing procedure of the proposed t-test will be discussed considering the degree of uncertainty. The applications of the proposed t-test will be discussed using pet dogs fed data. From the data analysis, the proposed t-test was found to be more informative than the existing t-test under classical statistics.
Received: November 24, 2025
Revised: December 12, 2025
Accepted: December 20, 2025
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