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Grusec, Theodore; Grusec, Joan E. – Developmental Psychology, 1971
Descriptors: College Students, Grade 6, Information Seeking, Probability
Wells, Peter – Mathematics Teaching, 1970
A method for introducing ideas of probability theory is presented. The method is illustrated by solving a coin tossing" problem. (FL)
Descriptors: College Mathematics, Instruction, Mathematical Models, Mathematics
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Kennedy, John J. – Educational and Psychological Measurement, 1970
Descriptors: Analysis of Variance, Correlation, Hypothesis Testing, Probability
Thomas, Ewart A. C.; Legge, David – Psychol Rev, 1970
Descriptors: Decision Making, Hypothesis Testing, Probability, Recognition
Stallings, William M.; Singhal, Sushila – J Exp Educ, 1969
Descriptors: Hypothesis Testing, Intervals, Probability, Statistical Significance
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Cohen, L. Jonathan – Cognition, 1980
Kahneman and Tversky's critique of Cohen's position on adults' probability reasoning is not valid. If they think Baconian logic is normatively unsound, the onus is on them to explain why. It is valid and useful because nature itself is full of causal processes. (Author/RD)
Descriptors: Abstract Reasoning, Deduction, Hypothesis Testing, Logical Thinking
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Harris, Chester W. – Educational and Psychological Measurement, 1980
Brennan's B statistic is a generalized upper-lower discrimination index which was first published in 1972: Peirce earlier introduced a statistic on the relation between a predictor and an outcome which has the same structure as Brennan's B. (Author/CP)
Descriptors: Discriminant Analysis, Item Analysis, Mathematical Formulas, Predictive Measurement
Peer reviewed Peer reviewed
Winefield, Anthony H. – Journal of Genetic Psychology, 1980
Six-year-olds, 10-year-olds, and 18-year-olds were studied in a probability learning experiment using a procedure analagous to that used in animal experiments. It was predicted that children, like rats, would choose higher probability alternatives more often with a noncorrection than a correction reinforcement procedure. (Author/DB)
Descriptors: Adolescents, Age Differences, Children, Learning
Eisner, Milton P. – MATYC Journal, 1979
The discrepancies in the power of voters in the various states is examined by computing the probability that an individual vote will be critical in an election. (MP)
Descriptors: Elections, Mathematics, Mathematics Education, Politics
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Bookstein, Abraham; Klein, Shmuel T.; Raita, Timo – Information Processing & Management, 1997
Discussion of text compression focuses on a method to reduce the amount of storage needed to represent a Markov model with an extended alphabet, by applying a clustering scheme that brings together similar states. Highlights include probability vectors; algorithms; implementation details; and experimental data with natural languages. (Author/LRW)
Descriptors: Algorithms, Computer Science, Markov Processes, Models
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Zhang, Jinming; Stout, William – Psychometrika, 1997
Three counterexamples demonstrate that the Dutch Identity conjecture of P. Holland about examinee ability (1990) does not hold in general. The counterexamples suggest that only under strong assumptions can it be true that the limits of log-manifest probabilities are quadratic. Three propositions giving such strong conditions are given. (Author/SLD)
Descriptors: Ability, Item Response Theory, Mathematical Models, Probability
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Dillon, William R.; Bockenholt, Ulf – Psychometrika, 1997
This paper presents two probabilistic models based on the logistic and the normal distribution for the analysis of dependencies in individual paired comparison judgments such as might occur in educational research. Three applications illustrate the approach. (SLD)
Descriptors: Comparative Analysis, Educational Research, Mathematical Models, Probability
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Fornell, Claes; Rust, Roland T. – Psychometrika, 1989
A Bayesian approach to the testing of competing covariance structures is developed. Approximate posterior probabilities are easily obtained from the chi square values and other known constants. The approach is illustrated using an example that demonstrates how the prior probabilities can alter results concerning the preferred model specification.…
Descriptors: Bayesian Statistics, Chi Square, Comparative Analysis, Mathematical Models
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Schroger, Erich; And Others – Educational and Psychological Measurement, 1993
Minkowski distances are used to indicate similarity of two vectors in an N-dimensional space. How to compute the probability function, the expectation, and the variance for Minkowski distances and the special cases City-block distance and Euclidean distance. Critical values for tests of significance are presented in tables. (SLD)
Descriptors: Equations (Mathematics), Probability, Statistical Distributions, Statistical Significance
Peer reviewed Peer reviewed
Schielack, Vincent P., Jr. – Mathematics Teacher, 1995
Applies elementary concepts of probability to a hotly debated question in football. Shows that the probability of winning is the same either way but the probability of losing is greater under the one-first strategy. (MKR)
Descriptors: Athletics, Football, Mathematical Applications, Mathematics Instruction
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