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Tsuei, T. G.; Guo, Sha-Lin; Chen, Jwu E. – 2000
To use the concept of probability and uncertainty estimation is a common practice in daily life. To assist students in learning the fundamentals of probability and statistics, not through the usual class and note taking, a group-learning and practical "statistical system" was designed. By connecting with the main statistical center, students not…
Descriptors: Engineering Education, Estimation (Mathematics), Higher Education, Inferences
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So, Tak-Shing Harry; Peng, Chao-Ying Joanne – 2002
This study compared the accuracy of predicting two-group membership obtained from K-means clustering with those derived from linear probability modeling, linear discriminant function, and logistic regression under various data properties. Multivariate normally distributed populations were simulated based on combinations of population proportions,…
Descriptors: Cluster Grouping, Group Membership, Prediction, Probability
Peer reviewed Peer reviewed
Zatzkis, Henry – Mathematics Teacher, 1973
Descriptors: Game Theory, Games, Mathematical Concepts, Mathematics
Brehmer, Berndt; Lindberg, Lars-Ake – Journal of Experimental Psychology, 1973
The present study is concerned with the retention of single-cue probability learning (SPL) tasks with scaled cue and criterion varibles. (Author)
Descriptors: College Students, Cues, Probability, Psychological Studies
Peer reviewed Peer reviewed
Samejima, Fumiko – Psychometrika, 1973
In line with the latent trait model, the continuous response level is defined and considered, in contrast to the discrete response levels, which have already been explored by the author. (Editor)
Descriptors: Correlation, Factor Analysis, Measurement, Models
Peer reviewed Peer reviewed
Sullins, Walter L. – Contemporary Education, 1973
Descriptors: Educational Research, Monte Carlo Methods, Probability, Research Methodology
Peer reviewed Peer reviewed
Geller, E. Scott; Whitman, Charles P. – American Journal of Psychology, 1972
Unlike previous studies, the present experiments simultaneously differentiated the stimulus events along more than one (binary) dimension. (Authors)
Descriptors: Learning, Prediction, Probability, Responses
Peer reviewed Peer reviewed
Prielipp, Robert W. – Mathematics Teacher, 1973
Descriptors: College Mathematics, Mathematics, Mathematics Education, Number Concepts
Peer reviewed Peer reviewed
Kiefer, J. – Mathematical Spectrum, 1970
Descriptors: Decision Making, Hypothesis Testing, Mathematics, Probability
Peer reviewed Peer reviewed
Moore, P. G. – Mathematical Spectrum, 1971
Descriptors: Probability, Public Opinion, Sampling, Statistical Bias
Peer reviewed Peer reviewed
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
Peer reviewed Peer reviewed
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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