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Houser, Larry L. – Mathematics Teacher, 1981
Monte Carlo methods are used to simulate activities in baseball such as a team's "hot streak" and a hitter's "batting slump." Student participation in such simulations is viewed as a useful method of giving pupils a better understanding of the probability concepts involved. (MP)
Descriptors: Baseball, Mathematical Models, Mathematics Instruction, Models

Gunther, L.; Weaver, D. L. – American Journal of Physics, 1978
A model of Brownian motion is discussed which includes viscosity effects. The model lends itself to Monte Carlo simulation and thus is suitable for an elementary physics laboratory experiment. (BB)
Descriptors: College Science, Higher Education, Laboratory Experiments, Mathematical Models

Travers, Kenneth J.; Gray, Kenneth G. – Mathematics Teacher, 1981
Some activities designed around the Monte Carlo method of solving probability problems are described. The instructional applications of this method involve physical models or simple BASIC computer programs. (MP)
Descriptors: Computer Programs, Mathematical Applications, Mathematical Models, Mathematics Instruction

Danesh, Iraj – Journal of Computers in Mathematics and Science Teaching, 1989
Describes the deterministic simulation (a given input always leads to the same output) and probabilistic simulation (new states are subject to predefined laws of chance). Provides examples of the application of the two simulations with mathematical expressions and PASCAL program. Lists seven references. (YP)
Descriptors: College Science, Computer Oriented Programs, Computer Simulation, Computers

Wood, Eric – Mathematics Teacher, 1992
This article discusses the analysis of a decision-making process faced by contestants on the television game show "The Price is Right". The included analyses of the original and related problems concern pattern searching, inductive reasoning, quadratic functions, and graphing. Computer simulation programs in BASIC and tables of…
Descriptors: Computer Assisted Instruction, Computer Simulation, Learning Activities, Mathematical Applications

Maeshiro, Asatoshi – Journal of Economic Education, 1996
Rectifies the unsatisfactory textbook treatment of the finite-sample proprieties of estimators of regression models with a lagged dependent variable and autocorrelated disturbances. Maintains that the bias of the ordinary least squares estimator is determined by the dynamic and correlation effects. (MJP)
Descriptors: Causal Models, Correlation, Economics Education, Heuristics