EVALUATING NUTRITIONAL EFFECTS IN TWO GROUPS OF PET DOGS USING AN UNEQUAL-VARIANCE t-TEST WITH IMPRECISE DATA

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Authors: Muhammad Mashkoor Aslam, Ali Hussein AL-Marshadi, Ishmal Shahzadi
Cited by: 0

Abstract

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.

Fields of Study & Subjects

Water Quality and Resources Studies Statistical Methods in Clinical Trials Statistical Methods and Bayesian Inference

Publication details

Journal / source
JP Journal of Biostatistics
Volume
26
Issue
1
Pages
41–52
Publication date
3 January 2026