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Dan Soriano; Eli Ben-Michael; Peter Bickel; Avi Feller; Samuel D. Pimentel – Grantee Submission, 2023
Assessing sensitivity to unmeasured confounding is an important step in observational studies, which typically estimate effects under the assumption that all confounders are measured. In this paper, we develop a sensitivity analysis framework for balancing weights estimators, an increasingly popular approach that solves an optimization problem to…
Descriptors: Statistical Analysis, Computation, Mathematical Formulas, Monte Carlo Methods
Didactic Strategies for the Understanding of the Kalman Filter in Industrial Instrumentation Systems
Flórez C., Oscar D.; Camargo L., Julián R.; Hurtado, Orlando García – Journal of Language and Linguistic Studies, 2022
This paper presents an application of the Kalman filter in signal processing in instrumentation systems when the conditions of the environment generate a large amount of interference for the acquisition of signals from measurement systems. The unwanted interferences make important use of the instrumentation system resources and do not represent…
Descriptors: Measurement, Accuracy, Simulation, Computer Software
Sales, Adam C.; Pane, John F. – Journal of Research on Educational Effectiveness, 2021
Randomized evaluations of educational technology produce log data as a bi-product: highly granular data on student and teacher usage. These datasets could shed light on causal mechanisms, effect heterogeneity, or optimal use. However, there are methodological challenges: implementation is not randomized and is only defined for the treatment group,…
Descriptors: Educational Technology, Use Studies, Randomized Controlled Trials, Mathematics Curriculum
White, Simon R.; Bonnett, Laura J. – Teaching Statistics: An International Journal for Teachers, 2019
The statistical concept of sampling is often given little direct attention, typically reduced to the mantra "take a random sample". This low resource and adaptable activity demonstrates sampling and explores issues that arise due to biased sampling.
Descriptors: Statistical Bias, Sampling, Statistical Analysis, Learning Activities
Vilchis, Abraham – Physics Teacher, 2017
Generally speaking, students have difficulty reporting out measurements and estimates of quantities used in the laboratory, and with handling the significant figures associated with them. When required to make calculation involving quantities with different numbers of significant figures, they have difficulty in assigning the corresponding digits…
Descriptors: Standard Setting, Science Process Skills, Measurement Techniques, Statistical Studies
Prinster, Andrew J.; Hoskins, Josephina L.; Strode, Paul K. – American Biology Teacher, 2019
Students learning the skills of science benefit from opportunities to move between the scientific problems and questions they confront and the mathematical tools available to answer the questions and solve the problems. Indeed, students learn science best when they are actively engaged in pursuing answers to authentic and relevant questions. We…
Descriptors: Science Education, Science Process Skills, Problem Solving, Statistical Analysis
Ng, Chiu-king – Physics Education, 2016
Instead of solving ordinary differential equations (ODEs), the damped simple harmonic motion (SHM) is surveyed qualitatively from basic mechanics and quantitatively by the instrumentality of a graph of velocity against displacement. In this way, the condition b ? [square root]4mk for the occurrence of the non-oscillating critical damping and…
Descriptors: Problem Solving, Calculus, Motion, Qualitative Research
Ramful, Ajay; Ho, Siew Yin – Australian Primary Mathematics Classroom, 2015
In this article, Ajay Ramful and Siew Yin Ho explain the meaning of quantitative reasoning, describing how it is used in the to solve mathematical problems. They also describe a diagrammatic approach to represent relationships among quantities and provide examples of problems and their solutions.
Descriptors: Mathematics Instruction, Problem Solving, Statistical Analysis, Mathematical Logic
Hassani, Mehdi; Kippen, Rebecca; Mills, Terence – Australian Senior Mathematics Journal, 2016
Life tables are mathematical tables that document probabilities of dying and life expectancies at different ages in a society. Thus, the life table contains some essential features of the health of a population. Probability is often regarded as a difficult branch of mathematics. Life tables provide an interesting approach to introducing concepts…
Descriptors: Probability, Mathematical Concepts, Death, Mortality Rate
Hourigan, Mairéad; Leavy, Aisling – Teaching Children Mathematics, 2015
In this article the authors describe an instructional unit designed and taught in two classes of kindergarten children. The goals of the unit were to present a "driving question" to motivate the process of statistical investigation, to genuinely engage children in the stages of statistical investigation, and to facilitate them in…
Descriptors: Teaching Methods, Kindergarten, Statistics, Childrens Literature
Wang, Jinshuai; Bloodworth, Mike – Action Learning: Research and Practice, 2016
This paper describes an action learning programme with China Unicom Broadband Limited (CUBO) to support its vision of transforming to become a world-leading broadband communications and information service provider. 64 Department directors and supervisors were invited to take part in the "China Unicom Broadband Online Phoenix Action Learning…
Descriptors: Facilitators (Individuals), Experiential Learning, Leadership Training, Program Design
Wright, Newell D.; Larsen, Val – Marketing Education Review, 2016
Employers of marketing graduates view good writing as a core marketing skill, but many marketing students are weak writers. The improvement of student writing should therefore be an important objective in a well-designed marketing curriculum. One-page papers combine the effective teaching of marketing concepts with writing instruction while…
Descriptors: Marketing, Writing Instruction, Writing Skills, Writing Improvement
Strayer, Jeremy; Matuszewski, Amber – Mathematics Teacher, 2016
In this article, Strayer and Matuszewski present a six-phase strategy that teachers can use to help students develop a conceptual understanding of inferential hypothesis testing through simulation. As Strayer and Matuszewski discuss the strategy, they describe each phase in general, explain how they implemented the phase while teaching their…
Descriptors: Mathematics Instruction, Teaching Methods, Hypothesis Testing, Simulation
Wen, Fei; Khera, Eshita – Chemical Engineering Education, 2016
Despite the instinctive perception of mass and heat transfer principles in daily life, productive learning in this course continues to be one of the greatest challenges for undergraduate students in chemical engineering. In an effort to enhance student learning in classroom, we initiated an innovative active-learning method titled…
Descriptors: Active Learning, Heat, Thermodynamics, Student Developed Materials
Jarosz, Andrew F.; Wiley, Jennifer – Journal of Problem Solving, 2014
The purpose of this paper is to provide an easy template for the inclusion of the Bayes factor in reporting experimental results, particularly as a recommendation for articles in the "Journal of Problem Solving." The Bayes factor provides information with a similar purpose to the "p"-value--to allow the researcher to make…
Descriptors: Problem Solving, Bayesian Statistics, Statistical Inference, Computation

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