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Showing 1 to 15 of 21 results Save | Export
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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
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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
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McGivney, Raymond J., Jr.; Pollino, Benedict – AMATYC Review, 1989
Describes the "Buffon's Needle" problem, which is calculating the probability that a needle will cross one of two separated lines. Calculates the probability when the length of the needle is greater than the space of the two lines. Provides an analytic solution and the results of a computer simulation. (YP)
Descriptors: College Mathematics, Computation, Computer Simulation, Estimation (Mathematics)
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Pagni, David L. – Mathematics Teacher, 1993
Investigates the problem of finding the expected number of questions necessary to identify 1 out of a set of 30 attribute blocks. Solutions include the use of a tree diagram or a computer simulation. Generalizes the problem for increased numbers of attributes. (MDH)
Descriptors: Computer Simulation, Mathematical Applications, Mathematical Formulas, Mathematics Education
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Schilling, Mark F. – College Mathematics Journal, 1990
Developed are simple recursion formulas for generating the exact distribution of the longest run of heads, both for a fair coin and for a biased coin. Discusses the applications of runs-related phenomena such as molecular biology, Markov chains, geometric variables, and random variables. (YP)
Descriptors: College Mathematics, Computer Simulation, Higher Education, Mathematical Applications
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Kimberling, Clark – Mathematics Teacher, 1984
A computer program is presented which simulates the classical probability machine, using Applesoft II high-resolution graphics. Many variables are left to the user's choosing. Suggestions for using the machine, understanding the problem, the mathematical model, and further program documentation are given. (MNS)
Descriptors: Computer Graphics, Computer Programs, Computer Simulation, Mathematical Models
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Akers, Joan; And Others – Journal of Mathematical Behavior, 1987
Described is a unit, SAMPLING, which focuses on developing student understanding of probability and data collection for junior high school students. Activities in SAMPLING incorporate physical materials, simple computer simulations, surveys of subjective data, computer simulations of complex situations, and a culminating activity requiring the…
Descriptors: Computer Simulation, Data Collection, Junior High Schools, Mathematics Curriculum
Walton, Karen Doyle; Walton, J. Doyle – 1987
The purpose of this teaching unit is to approach elementary probability problems in three ways. First, actual trials are performed and results are recorded. Second, a simple computer simulation of the problem provided on diskette and written for Apple IIe and IIc computers, is run several times. Finally, the mathematical solution of the problem is…
Descriptors: Class Activities, Computer Assisted Instruction, Computer Simulation, Experiential Learning
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Newell, G. J.; MacFarlane, J. D. – Australian Mathematics Teacher, 1985
Presents sports-oriented examples (cricket and football) in which Monte Carlo methods are used on microcomputers to teach probability concepts. Both examples include computer programs (with listings) which utilize the microcomputer's random number generator. Instructional strategies, with further challenges to help students understand the role of…
Descriptors: Computer Simulation, Computer Software, Estimation (Mathematics), Mathematics Education
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Ridenhour, Jim R.; Woodward, Ernest – Mathematics Teacher, 1984
The probability of winning the contest was analyzed, with the mathematical solution and a computer simulation given. A flowchart and computer program are both included. (MNS)
Descriptors: Computer Programs, Computer Simulation, Flow Charts, Games
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Bright, George W. – Arithmetic Teacher, 1989
Discussed are the use of probability simulations in a mathematics classroom. Computer simulations using regular dice and special dice are described. Sample programs used to generate 100 rolls of a pair of dice in BASIC and Logo languages are provided. (YP)
Descriptors: Computer Simulation, Computer Software, Computer Uses in Education, Mathematical Enrichment
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Oldknow, Adrian – Mathematics in School, 1990
Discussed are solutions to the problem "What is the expected number of rolls for the total first to exceed 6?" Several algebraic solutions are presented. A computer program which may be used to simulate this problem is included. (CW)
Descriptors: Algebra, Computer Simulation, Computer Uses in Education, Learning Strategies
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Walton, Karen Doyle – Mathematics Teacher, 1990
Discusses the use of the mathematics classroom for discovering the relationship among computers, mathematics, and real-world problems. Provides three probability problems and compares the results of three methods, actual trial, computer simulation, and mathematical solution. (YP)
Descriptors: College Mathematics, Computer Simulation, Computer Uses in Education, Higher Education
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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
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Jiang, Zhonghong; Potter, Walter D. – Mathematics Educator, 1993
Describes the Microworld Chance, a simulation-oriented computer environment that allows students to explore probability concepts in five subenvironments: coins, dice, spinners, thumbtacks, and marbles. Results of a teaching experiment to examine the effectiveness of the microworld in changing students' misconceptions about probability are…
Descriptors: Computer Assisted Instruction, Computer Simulation, Concept Formation, Discovery Learning
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