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Schmalz, Steve W.; Cartledge, Carolyn M. – 1982
During the last decade the use of Bayesian statistical method has become quite prevalent in the educational community. Yet, like most statistical techniques, little has been written concerning the application of these methods to the classroom setting. The purpose of this paper is to help correct such a deficiency in the literature by developing a…
Descriptors: Bayesian Statistics, Classroom Techniques, Mastery Tests, Mathematical Models
Peer reviewed Peer reviewed
Jones, Graham A.; And Others – Teaching Children Mathematics, 1996
Describes several activities of the Data and Chance program involving third and fourth graders. Students use real-life situations to investigate probability. (MKR)
Descriptors: Data Analysis, Elementary Education, Learning Activities, Mathematical Models
Peer reviewed Peer reviewed
Marks, Daniel – Mathematics Teacher, 1999
Presents an activity in which the subject is the identity of the team in the greatest jeopardy of becoming the big loser in a basketball tournament. Explores several facts about the big loser, offering them in a hierarchy appropriate for creating various short- and long-term projects for a high school mathematics class. (ASK)
Descriptors: Basketball, High Schools, Mathematical Models, Mathematics Activities
Kleiman, Glenn; Zweig, Karen – 1995
With the Seeing and Thinking Mathematically materials, students learn mathematics by doing mathematics, by using and connecting mathematical ideas, and by actively constructing their own understandings. In this unit students learn to see probability through a mathematical lens by exploring and creating games and simulations and by applying the…
Descriptors: Games, Intermediate Grades, Junior High Schools, Mathematical Models
Uebersax, John; Grove, Will – 1989
Methods of probability modeling to analyze rater agreement are described, emphasizing their basic similarities and viewing them as variants of a common methodology. Statistical techniques for analyzing agreement data are described to address questions such as how many opinions are required to make a medical diagnosis with necessary accuracy. Kappa…
Descriptors: Clinical Diagnosis, Correlation, Estimation (Mathematics), Evaluation Methods
Peer reviewed Peer reviewed
Biehl, L. Charles – Mathematics Teacher, 1999
Presents an activity that utilizes the mathematical models of forest fires and oil spills that were generated (in the first part of this activity, published in the November 1998 issue) by students using probability and cellular automata. (ASK)
Descriptors: Fire Protection, Fractals, Geometry, Mathematical Models
Peer reviewed Peer reviewed
Hirsch, Christian R., Ed.; And Others – Mathematics Teacher, 1987
Provides mathematical activities in reproducible formats appropriate for students in grades 7-12. The objective is to practice using area models in analyzing compound situations and calculating the expected value or long-term average. (PK)
Descriptors: Class Activities, Expectation, Games, Mathematical Models
Peer reviewed Peer reviewed
Lappan, Glenda; And Others – Mathematics Teacher, 1987
The activity uses an area model to analyze probabilities associated with games of chance. Three activity sheets are included, with teaching suggestions. (MNS)
Descriptors: Instructional Materials, Learning Activities, Mathematical Models, Mathematics Instruction
Peer reviewed Peer reviewed
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
Peer reviewed Peer reviewed
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
Peer reviewed Peer reviewed
Richbart, Lynn; Richbart, Carolyn – Arithmetic Teacher, 1992
Discusses ways to simulate a probability problem of interest to middle school students in which students calculate the average number of packets of trading cards purchased to obtain a complete set of cards. Simulations utilize a spinner, a table of random numbers, and a computer. Includes the BASIC program utilized in the simulation. (MDH)
Descriptors: Experiments, Intermediate Grades, Mathematical Applications, Mathematical Models
Hill, Linda; Rothery, Andrew – Mathematics Teaching, 1975
Mathematical modelling activities related to everyday situations (e.g., traffic lights) can be used to develop probability concepts. (SD)
Descriptors: Educational Games, Instruction, Learning Activities, Mathematical Concepts
Peer reviewed Peer reviewed
Austin, Joe Dan – Mathematics Teacher, 1982
The problems involved in making reservations for airline flights is discussed in creating a mathematical model designed to maximize an airline's income. One issue not considered in the model is any public relations problem the airline may have. The model does take into account the issue of denied boarding compensation. (MP)
Descriptors: College Mathematics, Equations (Mathematics), Higher Education, Mathematical Applications
Peer reviewed Peer reviewed
Mason, Julia A.; Jones, Graham A. – Arithmetic Teacher, 1994
Describes a problem formulated by fourth-grade students about having more pizza for lunch, and the clarifying, predicting, modeling, simulating, comparing, and extending activities that occurred in addressing the problem from a probabilistic perspective. (MKR)
Descriptors: Charts, Diagrams, Elementary Education, Elementary School Mathematics
Peer reviewed Peer reviewed
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
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