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Oscar-Berman, Marlene; And Others – Journal of Experimental Psychology: Human Learning and Memory, 1976
The present study used a two-choice spatial probability-learning situation (Bitterman, 1975; Wilson & Oscar, 1966) in order to explore the hypothesis that Korsakoff patients differ from control subjects in the way in which they respond to changes in reinforcement contingencies. (Author)
Descriptors: Alcoholism, Diagrams, Experimental Psychology, Learning Processes
Peer reviewed Peer reviewed
Arithmetic Teacher, 1979
A case is made for a comprehensive curriculum that includes strong competencies with not only number ideas and computation, but also with other mathematical topics such as geometry, statistics, probability, and estimation. (MP)
Descriptors: Computation, Curriculum, Curriculum Problems, Elementary Secondary Education
Peer reviewed Peer reviewed
Jones, Graham – Arithmetic Teacher, 1979
The inclusion of probability in the school curriculum is argued to be justified on mathematical, psychological, and social grounds. Contemporary teaching approaches are suggested as sufficient. (MP)
Descriptors: Cognitive Development, Concept Formation, Curriculum, Elementary School Mathematics
Peer reviewed Peer reviewed
West, Bruce J. – American Journal of Physics, 1978
Discusses scattering problems in continuous media, and presents a simple discrete model for scalar wave scattering from inhomogeneities on a lattice. Illustrates the relationships between the amplitude of the scattered wave and the characteristic function of the fluctuating motion of a point reflector in one dimension. (Author/GA)
Descriptors: College Science, Higher Education, Instruction, Kinetics
Peer reviewed Peer reviewed
Rogers, W. Todd; And Others – Journal of Educational Measurement, 1977
The bias attributable to nonresponse in population estimates in the field of education was studied. Data were collected from responses to mathematics and science exercises administered by the National Assessment of Educational Progress to a probability sample of 17-year olds, as well as a probability sample selected from nonrespondents.…
Descriptors: Attrition (Research Studies), Data Collection, High Schools, National Surveys
Hughes, Barnabas – MATYC Journal, 1977
The author gives a three dimensional analog of Pascal's Triangle as an exercise in heuristic thinking and an introduction to the multinomial theorem. The analog involves finding the number of shortest routes to various rooms in a cubical apartment house. (MN)
Descriptors: Algebra, College Mathematics, Higher Education, Mathematical Applications
Peer reviewed Peer reviewed
Koop, A. J. – Australian Mathematics Teacher, 1977
The contributions made by including probability theory in the primary grade curriculum are examined with respect to the day to day living of the developing child and his preparation for later life. In particular, language and decision making, misconceptions, research and systematic thinking, occupations, and the future are discussed. (MN)
Descriptors: Cognitive Development, Decision Making, Elementary Education, Enrichment
Peer reviewed Peer reviewed
Litwiller, Bonnie; Duncan, David R. – Mathematics Teacher, 1977
The probabilities of six-card poker hands are derived and compared to those of the five-card poker hands. (JT)
Descriptors: College Mathematics, Games, Higher Education, Instruction
Peer reviewed Peer reviewed
Piotrowski, Richard J.; Siegel, Don J. – Journal of Learning Disabilities, 1986
E. Burns' (1984) attempt to explain the below average mean IQ scores reported for samples of learning dsabled (LD) students through the use of the bivariate normal probability distribution was examined. Alternative explanations which focus on issues related to the referral, identification, and placement of children are presented.(Author)
Descriptors: Disability Identification, Elementary Secondary Education, Intelligence Quotient, Learning Disabilities
Peer reviewed Peer reviewed
Huberty, Carl J.; And Others – Multivariate Behavioral Research, 1987
Three estimates of the probabilities of correct classification in predictive discriminant analysis were computed using mathematical formulas, resubstitution, and external analyses: (1) optimal hit rate; (2) actual hit rate; and (3) expected actual hit rate. Methods were compared using Monte Carlo sampling from two data sets. (Author/GDC)
Descriptors: Classification, Discriminant Analysis, Elementary Education, Estimation (Mathematics)
Peer reviewed Peer reviewed
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
Peer reviewed Peer reviewed
Zimmerman, Donald W. – Educational and Psychological Measurement, 1985
A computer program simulated guessing on multiple-choice test items and calculated deviation IQ's from observed scores which contained a guessing component. Extensive variability in deviation IQ's due entirely to chance was found. (Author/LMO)
Descriptors: Computer Simulation, Error of Measurement, Guessing (Tests), Intelligence Quotient
Peer reviewed Peer reviewed
Mansheim, Jan; Baldridge, Phyllis – Mathematics Teacher, 1987
Solutions to a problem on seating arrangements and one on a box-office situation are discussed; a statistical approach is used. Four computer programs are included. (MNS)
Descriptors: Computer Software, Learning Activities, Mathematics Instruction, Probability
Peer reviewed Peer reviewed
Haigh, William E. – Mathematics Teacher, 1985
Use of the computer to simulate or imitate probability problems that are difficult to analyze in any other way is discussed. How the Monte Carlo method works is clarified, with sample problems and programs. (MNS)
Descriptors: Computer Software, Learning Activities, Mathematics Instruction, Microcomputers
Peer reviewed Peer reviewed
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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