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Marrero, Osvaldo; Pasles, Paul C. – Mathematics and Computer Education, 2011
Like many mathematics teachers, the authors often find that students who struggle with a difficult concept may be assisted by the use of a well-chosen graph or other visual representation. While one should not rely solely on such tools, they can suggest possible theorems which then might be proved with the proper rigor. Even when a picture…
Descriptors: Probability, Calculus, Mathematics Instruction, College Mathematics

Kepner, James L. – Mathematics and Computer Education, 1988
Advantages and disadvantages of common ways to justify the answer to a probability problem are discussed. One explanation appears superior to the others because it is easy to understand, mathematically rigorous, generalizes to a broader class of problems, and avoids the deficiencies of the other explanations. (MNS)
Descriptors: College Mathematics, Computer Oriented Programs, Higher Education, Mathematics Instruction

Glaister, P. – Mathematics and Computer Education, 1999
Determines the theoretical probability that a regular polygon will cross a crack when dropped onto floorboards. By following two special cases, a pattern emerges that enables students to consider the general case. (ASK)
Descriptors: Elementary Secondary Education, Geometric Concepts, Higher Education, Mathematics Activities

Osler, Thomas J. – Mathematics and Computer Education, 2001
Explains a non-standard definition of an ellipse familiar to astronomers and workers in celestial mechanics but which is not usually given in undergraduate text books on mathematics. (MM)
Descriptors: Astronomy, Geometric Concepts, Higher Education, Mathematics Activities
Maruszewski, Richard F., Jr.; Caudle, Kyle A. – Mathematics and Computer Education, 2005
As part of a discussion on Monte Carlo methods, which outlines how to use probability expectations to approximate the value of a definite integral. The purpose of this paper is to elaborate on this technique and then to show several examples using visual basic as a programming tool. It is an interesting method because it combines two branches of…
Descriptors: Probability, Monte Carlo Methods, Problem Solving, Mathematical Formulas

Levine, Stephanie Holliman; Mansheim, Jan – Mathematics and Computer Education, 1987
One way in which a computer simulation can convince students of the validity of formulas for the density and distributive functions of the sum of two variables is described. Four computer program listings are included. (MNS)
Descriptors: College Mathematics, Computer Simulation, Functions (Mathematics), Graphs

Maloy, B. R.; Pye, W. C. – Mathematics and Computer Education, 1986
An exercise simulating the tossing of N dice is described. Calculation of expected gain and extension to a two-person game are each discussed. (MNS)
Descriptors: College Mathematics, Computer Science Education, Computer Simulation, Higher Education

Ehrlich, Amos – Mathematics and Computer Education, 1986
Three computer programs are listed for finding binomial probabilities. Other applications and variations are discussed. (MNS)
Descriptors: Computer Software, Enrichment Activities, Mathematical Enrichment, Mathematics Instruction

Marrero, Osvaldo – Mathematics and Computer Education, 1998
Presents a problem that has been well received by students in undergraduate mathematical statistics courses. The problem is presented as a game in which students are asked to choose between two alternatives, as if they were betting. (ASK)
Descriptors: Educational Games, Elementary Secondary Education, Higher Education, Mathematics Activities

Poiani, Eileen L.; Protomastro, Gerard P. – Mathematics and Computer Education, 1985
The game of craps is analyzed in terms of mathematical expectation. Betting examples are presented and discussed, and a computer simulation program in BASIC is included. (MNS)
Descriptors: College Mathematics, Computer Software, Higher Education, Learning Activities

Haley, J. Marie – Mathematics and Computer Education, 1982
Presents the game of Keno as an interesting, realistic model for applying mathematics that can be an excellent aid in teaching some basic probability concepts. It is felt that having students examine the probabilities may convince them that winning at Keno is unlikely, and it is an unfair game. (MP)
Descriptors: College Mathematics, Educational Games, Games, Higher Education
Skurnick, Ronald – Mathematics and Computer Education, 2005
The subject matter presented in this article can be used in the classroom to enrich the learning experience of students taking a course that includes a unit on combinatorics, such as discrete mathematics, graph theory, or probability. In order to provide such students with the background needed to appreciate the significance of the generalization…
Descriptors: Geometric Concepts, Probability, Learning Experience, Generalization

Edgeman, Rick L. – Mathematics and Computer Education, 1988
Presents noncalculus approximation techniques for two normal distribution problems. These methods may be useful projects for lower-level undergraduate statistics and computer science students. (PK)
Descriptors: College Mathematics, Computer Assisted Instruction, Computer Science Education, Higher Education

Jones, Kevin S. – Mathematics and Computer Education, 1992
"Gedankensimulation" is a term adapted from Einstein's "thought experiments" to indicate mentally created simulations that can help conceptualize ideas. Presents seven examples of simulations that can be utilized to solve problems or illustrate concepts in probability and statistics. Problem contexts include games of chance,…
Descriptors: College Mathematics, Computer Assisted Instruction, Computer Science Education, Computer Simulation