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Pfannkuch, Maxine; Budgett, Stephanie – Journal of Statistics Education, 2016
Finding ways to enhance introductory students' understanding of probability ideas and theory is a goal of many first-year probability courses. In this article, we explore the potential of a prototype tool for Markov processes using dynamic visualizations to develop in students a deeper understanding of the equilibrium and hitting times…
Descriptors: Markov Processes, Introductory Courses, Mathematics Instruction, Probability
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Foster, Colin; Martin, David – Teaching Statistics: An International Journal for Teachers, 2016
We analyse the "two-dice horse race" task often used in lower secondary school, in which two ordinary dice are thrown repeatedly and each time the sum of the scores determines which horse (numbered 1 to 12) moves forwards one space.
Descriptors: Statistics, Markov Processes, Probability, Statistical Significance
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Li, Feiming; Cohen, Allan; Bottge, Brian; Templin, Jonathan – Educational and Psychological Measurement, 2016
Latent transition analysis (LTA) was initially developed to provide a means of measuring change in dynamic latent variables. In this article, we illustrate the use of a cognitive diagnostic model, the DINA model, as the measurement model in a LTA, thereby demonstrating a means of analyzing change in cognitive skills over time. An example is…
Descriptors: Statistical Analysis, Change, Thinking Skills, Measurement
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Stewart, Wayne; Stewart, Sepideh – PRIMUS, 2014
For many scientists, researchers and students Markov chain Monte Carlo (MCMC) simulation is an important and necessary tool to perform Bayesian analyses. The simulation is often presented as a mathematical algorithm and then translated into an appropriate computer program. However, this can result in overlooking the fundamental and deeper…
Descriptors: Markov Processes, Monte Carlo Methods, College Mathematics, Mathematics Instruction
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Humenberger, Hans – Teaching Mathematics and Its Applications: An International Journal of the IMA, 2011
When one uses Google (and many people do this!), the result of the query is a list of sites that have something to do with the item one is looking for. The specific sites are always more or less on the top, so it is not necessary to have a look on hundreds of sites to read something relevant and informative. How can Google manage this? How does…
Descriptors: Search Engines, Mathematics Instruction, Probability, Algebra
Cousino, Andrew – ProQuest LLC, 2013
The goal of this work is to provide instructors with detailed information about their classes at each assignment during the term. The information is both on an individual level and at the aggregate level. We used the large number of grades, which are available online these days, along with data-mining techniques to build our models. This enabled…
Descriptors: Mathematics Instruction, Algebra, Probability, Mathematical Models
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Johnson, Roger W. – PRIMUS, 2003
Games are promoted as examples for classroom discussion of stationary Markov chains. In a game context Markov chain terminology and results are made concrete, interesting, and entertaining. Game length for several-player games such as "Hi Ho! Cherry-O" and "Chutes and Ladders" is investigated and new, simple formulas are given. Slight…
Descriptors: Markov Processes, College Mathematics, Mathematics Instruction, Teaching Methods
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Zaki, Moncef; Pluvinag, Francois – Educational Studies in Mathematics, 1991
Probability theory can be developed from a theoretical or experimental probability approach. The problem, "The Gambler's Ruin," is used to study whether students are naturally sensitive to learning probability from an experimental probability approach through simulations. Results indicated that use of simulations can contribute to…
Descriptors: Cognitive Development, Computer Simulation, Concept Formation, French