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Vinay Kumar Yadav; Shakti Prasad – Measurement: Interdisciplinary Research and Perspectives, 2024
In sample survey analysis, accurate population mean estimation is an important task, but traditional approaches frequently ignore the intricacies of real-world data, leading to biassed results. In order to handle uncertainties, indeterminacies, and ambiguity, this work presents an innovative approach based on neutrosophic statistics. We proposed…
Descriptors: Sampling, Statistical Bias, Predictor Variables, Predictive Measurement
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Monica Irungbam; Shailata Prisi; Ritika Shrivastava; Binita Goswami – Biochemistry and Molecular Biology Education, 2024
Medical science is a dynamic field of knowledge that is constantly broadening with upcoming clinical research and analysis. Traditional medical education has been focused on textbook-based recall assessments--closed book assessment (CBA). However, the availability of newer technologies has made the accessibility to encyclopedic knowledge…
Descriptors: Undergraduate Students, Medical Students, Tests, Conventional Instruction