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Peer reviewedConnolly, Terry – Educational and Psychological Measurement, 1977
A distinction between two classes of problems used in laboratory studies of judgment and inference phenomena is made. The distinction is relevant to both single-cue probability learning and multiple cue probability learning within the linear lens model paradigm. (Author/JKS)
Descriptors: Cues, Learning Processes, Probability, Structural Analysis
Peer reviewedKrishnaiah, P. R. – Journal of Multivariate Analysis, 1976
In this paper, the author gives a review of the literature on complex multivariate distributions. Some new results on these distributions are also given. Finally, the author discusses the applications of the complex multivariate distributions in the area of the inference on multiple time series. (Author)
Descriptors: Difficulty Level, Hypothesis Testing, Matrices, Probability
Peer reviewedKirschner, H. P. – Journal of Multivariate Analysis, 1976
Considers the problem of risk-equivalence of two statistical procedures for statistical decision problems. The crucial argument is based on rewriting risk-equivalence in terms of Choquet's integral representation theorem. It is shown that for certain special cases that do not fulfill the assumptions of the Main Theorem, risk-equivalence holds at…
Descriptors: Comparative Analysis, Decision Making, Probability, Risk
Peer reviewedBurrell, Quentin L. – Journal of Documentation, 1988
Proposes a probabilistic mechanism to describe various forms of the Bradford phenomenon reported in bibliographic research. The inclusion of a time parameter in the model to allow predictions of dynamic systems is explained. (58 references) (CLB)
Descriptors: Bibliometrics, Mathematical Models, Prediction, Probability
Peer reviewedGradstein, Mark – Journal of Educational Statistics, 1986
The purpose of this paper is to calculate the upper limit of the correlation between normal and dichotomous variables. An empirically obtained correlation should be evaluated in view of this limit, instead of the usual limit of Pearson correlation. (Author)
Descriptors: Correlation, Equations (Mathematics), Predictor Variables, Probability
Peer reviewedBeck, Kenneth H. – Social Behavior and Personality, 1984
Investigated the effects of different types of risk information in a simulated decision-making task to test the predictions of protection motivation theory. College students (N=226) completed the task. Results showed outcome severity, efficacy of protection, and access to protection were related to protective decisions. (BH)
Descriptors: College Students, Decision Making, Higher Education, Probability
Peer reviewedLindsay, John S. B. – Human Relations, 1976
The fact that a group may subdivide into smaller subgroups is examined in the light of probability theory. (Author)
Descriptors: Group Dynamics, Group Structure, Organization Size (Groups), Probability
Ogborn, Jon – Mathematics Teaching, 1974
The characteristic shape of the normal distribution, one hump and two tails, is discussed. The reasoning is based on variation, combinations, probability, and logarithms. The purpose is to be able to answer some of the "whys" students might ask. (LS)
Descriptors: Calculus, College Mathematics, Instruction, Mathematics
Peer reviewedGani, J. – Mathematical Spectrum, 1971
Descriptors: Graphs, Mathematics, Mathematics History, Probability
Peer reviewedBedford, Crayton W. – Mathematics Teacher, 1972
The Wilcoxon two-sample test used to examine judge bias. (MM)
Descriptors: Bias, Mathematics, Probability, Statistical Analysis
Peer reviewedIacobacci, Rora – Mathematics Teacher, 1972
Descriptors: Calculus, College Mathematics, Instruction, Mathematical Applications
Peer reviewedWolter, David G.; Earl, Robert W. – Psychometrika, 1972
Descriptors: Bayesian Statistics, Learning, Mathematical Models, Probability
Peer reviewedJohnson, Edgar M. – Psychometrika, 1972
A computational short cut suggested by Feldman and Klinger for the one-sided Fisher-Yates exact test is clarified and is extended to the calculation of probability values for certain two-sided tests when sample sizes are unequal. (Author)
Descriptors: Computation, Expectancy Tables, Mathematical Applications, Probability
Peer reviewedIversen, Gudmund R.; And Others – Psychometrika, 1971
Descriptors: Expectation, Game Theory, Mathematics, Probability
Peer reviewedSmith, Robert A. – Psychometrika, 1971
Descriptors: Data Analysis, Data Collection, Groups, Probability


