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Peer reviewedBarnett, Charles S. – American Journal of Physics, 1979
Shows how the good-as-new postulate leads to the exponential function, which in turn leads to a complete probabilistic description of the decay of an aggregate of identical excited atoms. (Author/GA)
Descriptors: Atomic Theory, College Science, Higher Education, Models
Peer reviewedMukunda, N. – American Journal of Physics, 1979
Shows how to extend Wigner distribution functions, and Weyl correspondence between quantum and classical variables, from the usual kind of canonically conjugate position and momentum operators to the case of an angle and angular momentum operator pair. (Author/GA)
Descriptors: College Science, Higher Education, Mathematics, Mechanics (Physics)
Peer reviewedBand, William; Park, James L. – American Journal of Physics, 1979
Explains that the quantal state describes a statistical ensemble of similar systems identically prepared, and is not to be identified with any single system. Shows how to determine empirically the general quantum state by calculations involving only the measured mean values of a set of observables called a "Quorum." (Author/GA)
Descriptors: College Science, Higher Education, Instruction, Mechanics (Physics)
Peer reviewedSpencer, Neville – Mathematics Teacher, 1977
The famous birthday problem is discussed and activities which can be used with it as an introduction to probability are examined. (SD)
Descriptors: Curriculum, Games, Instruction, Learning Activities
Peer reviewedWickett, Maryann – Teaching Children Mathematics, 1997
Presents an activity introducing probability and patterns to multigrade students. Uses the storybook "The Thirteen Days of Halloween" to demonstrate numbers, patterns, and probability. (ASK)
Descriptors: Elementary Education, Mathematics Activities, Mathematics Instruction, Number Concepts
Peer reviewedSawyer, Richard – Journal of Educational Measurement, 1996
Decision theory is a useful method for assessing the effectiveness of the components of a course placement system. The effectiveness of placement tests or other variables in identifying underprepared students is described by the conditional probability of success in a standard course. Estimating the conditional probability of success is discussed.…
Descriptors: College Students, Estimation (Mathematics), Higher Education, Mathematical Models
Peer reviewedPagni, David L. – Mathematics Teacher, 2000
Uses a probability tree to predict the most likely wild card team for a National League Championship. (KHR)
Descriptors: Interdisciplinary Approach, Learning Strategies, Mathematical Applications, Mathematics Activities
Peer reviewedGalbraith, Peter – Teaching Mathematics and Its Applications, 1996
Suggests ways for using data from championship tennis as a means for exploring probabilistic models, especially binomial probability. Examples include the probability of winning a service point and the probability of winning a service game using data from tables and graphs. (AIM)
Descriptors: Higher Education, Mathematical Applications, Mathematical Models, Mathematics Instruction
Peer reviewedCleary, Richard J.; Casella, George – Journal of Educational and Behavioral Statistics, 1997
A model is proposed to account for publication bias explicitly using a weight function that describes probability of publication for a particular study in terms of a selection parameter. A Bayesian analysis of this model using Gibbs sampling is conducted, and the model is applied to a published meta-analysis. (SLD)
Descriptors: Bayesian Statistics, Estimation (Mathematics), Meta Analysis, Probability
Peer reviewedRiehl, Carolyn; Byrd, Mark A. – Educational Evaluation and Policy Analysis, 1997
Factors associated with the career move from teaching to educational administration were studied using nationally representative data from 4,800 teachers. Overall, socialization factors were salient for men and women, but a woman's predicted probability of becoming an administrator remained far below that of a man. (SLD)
Descriptors: Administrators, Career Change, Elementary Secondary Education, Employment Opportunities
Peer reviewedEvans, Gwyn – Teaching Statistics, 1997
Demonstrates the advantages of a p-value as compared with a standard significance test procedure. Contains examples in the discussion of testing the mean of a normal distribution and testing a probability of proportion. (DDR)
Descriptors: British National Curriculum, Educational Strategies, Foreign Countries, Higher Education
Peer reviewedEwbank, William A.; Ginther, John L. – Mathematics Teaching in the Middle School, 2002
Describes how to use common dice numbered 1-6 for simple mathematical situations including probability. Presents a lesson using regular dice and specially marked dice to explore some of the concepts of probability. (KHR)
Descriptors: Concept Formation, Curriculum Design, Manipulative Materials, Mathematics Education
Peer reviewedPolaki, Mokaeane V. – Mathematical Thinking and Learning, 2002
Reports on a study entailing the design, implementation, and evaluation of two versions of a teaching experiment that traced students' growth in probabilistic thinking. Students in the first version focused on analyses of small sample experimental data and sample space composition. Students in the second version made connections between…
Descriptors: Cognitive Processes, Computer Uses in Education, Concept Formation, Data Analysis
Peer reviewedShreero, Betsy; Sullivan, Cindy; Urbano, Alicia – Teaching Children Mathematics, 2002
Investigates and explores questions and activities related to using a calendar. Students explore number sense and operations, logical reasoning, data analysis, probability, and algebra. (Author/NB)
Descriptors: Algebra, Data Analysis, Elementary Education, Mathematics Activities
Peer reviewedMaruszewski, Richard F., Jr. – Mathematics and Computer Education, 2002
Presents an example from probability and statistics that ties together several topics including the mean and variance of a discrete random variable, the binomial distribution and its particular mean and variance, the sum of independent random variables, the mean and variance of the sum, and the central limit theorem. Uses Excel to illustrate these…
Descriptors: Computer Uses in Education, Instructional Design, Mathematics Education, Probability


