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Abdul Haq – Measurement: Interdisciplinary Research and Perspectives, 2024
This article introduces an innovative sampling scheme, the median sampling (MS), utilizing individual observations over time to efficiently estimate the mean of a process characterized by a symmetric (non-uniform) probability distribution. The mean estimator based on MS is not only unbiased but also boasts enhanced precision compared to its simple…
Descriptors: Sampling, Innovation, Computation, Probability
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William D. Riihiluoma; Zeynep Topdemir; John R. Thompson – Physical Review Physics Education Research, 2024
One expected outcome of physics instruction is for students to be capable of relating physical concepts to multiple mathematical representations. In quantum mechanics (QM), students are asked to work across multiple symbolic notations, including some they have not previously encountered. To investigate student understanding of the relationships…
Descriptors: Quantum Mechanics, Mathematical Concepts, Knowledge Level, College Students
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William D. Riihiluoma; Zeynep Topdemir; John R. Thompson – Physical Review Physics Education Research, 2025
The ability to relate physical concepts and phenomena to multiple mathematical representations--and to move fluidly between these representations--is a critical outcome expected of physics instruction. In upper-division quantum mechanics, students must work with multiple symbolic notations, including some that they have not previously encountered.…
Descriptors: Undergraduate Students, College Faculty, Physics, Science Instruction
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Aimel Zafar; Manzoor Khan; Muhammad Yousaf – Measurement: Interdisciplinary Research and Perspectives, 2024
Subjects with initially extreme observations upon remeasurement are found closer to the population mean. This tendency of observations toward the mean is called regression to the mean (RTM) and can make natural variation in repeated data look like real change. Studies, where subjects are selected on a baseline criterion, should be guarded against…
Descriptors: Measurement, Regression (Statistics), Statistical Distributions, Intervention