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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
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Wasserman, Nicholas H. – Mathematics Teacher, 2015
Finding and designing tasks that allow for students to make connections among mathematical ideas is important for mathematics educators. One such task, which affords students the opportunity to make connections and engage with significant mathematical ideas through a variety of problem-solving approaches, is described in this article. Three…
Descriptors: Mathematics Instruction, Mathematical Concepts, Statistics, Probability
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Lu, Yun; Vasko, Francis J.; Drummond, Trevor J.; Vasko, Lisa E. – Mathematics Teacher, 2014
If the prospective students of probability lack a background in mathematical proofs, hands-on classroom activities may work well to help them to learn to analyze problems correctly. For example, students may physically roll a die twice to count and compare the frequency of the sequences. Tools such as graphing calculators or Microsoft Excel®…
Descriptors: Probability, Mathematical Logic, Validity, Heuristics
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CadwalladerOlsker, Todd D. – Mathematics Teacher, 2011
Bayes's theorem is notorious for being a difficult topic to learn and to teach. Problems involving Bayes's theorem (either implicitly or explicitly) generally involve calculations based on two or more given probabilities and their complements. Further, a correct solution depends on students' ability to interpret the problem correctly. Most people…
Descriptors: Critical Thinking, Probability, Mathematical Logic, Mathematics Skills
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Turton, Roger W. – Mathematics Teacher, 2007
This article describes several methods from discrete mathematics used to simulate and solve an interesting problem occurring at a holiday gift exchange. What is the probability that two people will select each other's names in a random drawing, and how does this result vary with the total number of participants? (Contains 5 figures.)
Descriptors: Probability, Algebra, Problem Solving, Monte Carlo Methods
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Santulli, Thomas V. – Mathematics Teacher, 2006
The understanding and a liking towards mathematics can be very effectively developed in students by allowing them to find out the solutions for any basic problem or simulations, which are basically mathematical reenactments of nearly or completely hypothetical situations. The nontransitive relation of Efron's dice or the assignment of numbers in a…
Descriptors: Mathematics Instruction, Simulation, Teaching Methods, Problem Solving
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Roberts, Nancy – Mathematics Teacher, 1981
A programing language called DYNAMO, developed especially for writing simulation models, is promoted. Details of six, self-teaching curriculum packages recently developed for simulation-oriented instruction are provided. (MP)
Descriptors: Computers, Mathematical Applications, Mathematical Models, Mathematics Curriculum
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Archer, J. Andrew – Mathematics Teacher, 1976
The game of roulette is analyzed. (SD)
Descriptors: Computers, Games, Instruction, Learning Activities
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Swift, Jim – Mathematics Teacher, 1983
Three probability problems designed to challenge students are presented: Liars and Diamonds, Heads Wins, and Random Walks. Other statistic problems are suggested that could involve computer simulations. (MNS)
Descriptors: Academically Gifted, Computers, Gifted, Mathematical Enrichment
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Anderson, Bill D.; Lamb, John F., Jr. – Mathematics Teacher, 1981
The mathematics for a lunar shuttle landing simulation is discussed using equations, charts and tables. (MP)
Descriptors: Mathematical Applications, Mathematical Enrichment, Mathematics Education, Mathematics Instruction
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Anderson, Bill D.; And Others – Mathematics Teacher, 1984
A previous article examined the amount of fuel that could constantly burn each second and achieve a safe landing. This article investigates some ways to burn variable amounts of fuel according to some mathematical function (such as an arithmetic progression). Several assumptions (such as a massless fuel) are made. (JN)
Descriptors: Computer Software, Fuels, High Schools, Mathematical Applications