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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

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

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

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)

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

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

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

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

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

Ernest, Paul – Mathematics Teacher, 1984
Intuitive ideas of probability are introduced through real-life situations. Discussion topics and activities are both included. (MNS)
Descriptors: Discussion (Teaching Technique), Learning Activities, Mathematics Instruction, Probability

Newell, G. J. – Australian Mathematics Teacher, 1984
The application of probability concepts in tennis is described, with a computer program listing to generate service game probabilities. (MNS)
Descriptors: Computer Software, Learning Activities, Mathematical Applications, Mathematics Instruction

Ehrlich, Amos – Mathematics and Computer Education, 1986
Three computer programs are listed for finding binomial probabilities. Other applications and variations are discussed. (MNS)
Descriptors: Computer Software, Enrichment Activities, Mathematical Enrichment, Mathematics Instruction

Simon, Julian L.; And Others – American Mathematical Monthly, 1976
The Monte Carlo method and its logic are reviewed, then three experiments that tested the value of the method in a variety of class settings are described. (DT)
Descriptors: College Mathematics, Higher Education, Instruction, Learning Activities

Estes, W. K. – Psychological Review, 1976
Article attempted to show that new findings are emerging that may bring the study of probability learning closer to the mainstream of research on human memory and information processing. (Author/RK)
Descriptors: Cognitive Processes, Diagrams, Expectation, Information Processing
Dudar, Abdur-Rahim Dib – 2002
This paper suggests that logic consists of a collection of propositions and operations of negation, conjunction, disjunction, implication, and equivalence. It points out that the operations on dispositions depend upon the truth-value of the propositions involved. This raises the questions, How do we know whether a proposition is true or false? and…
Descriptors: Higher Education, Logical Thinking, Mathematical Concepts, Mathematical Logic