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