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Dyck, Walter; Plancke-Schuyten, Gilberte – Educational and Psychological Measurement, 1976
Previous knowledge of the difficulty index and the intercorrelations of the items will allow group results to be predicted and manipulated. A compound bionomial probability function of a testscore is established for which a computer program has been written. Three item selections and the appropriate probability distributions are given which give…
Descriptors: Computer Programs, Multiple Choice Tests, Prediction, Probability
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Troccolo, Joseph A. – Mathematics Teacher, 1977
A problem illustrating how physics and mathematics complement one another when analyzing problems of the physical world is described. (JT)
Descriptors: College Mathematics, College Science, Higher Education, Mathematical Models
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Robertson, S. E.; Harding, P. – Journal of Documentation, 1984
Presents adaptation of a probabilistic theoretical model previously used in relevance feedback for use in automatic indexing of documents (in the sense of imitating) human indexers. Methods for model application are proposed, independence assumptions used in the model are interpreted, and the probability of a dependence model is discussed.…
Descriptors: Automatic Indexing, Classification, Information Retrieval, Mathematical Models
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Wilcox, Rand R. – Journal of Educational Statistics, 1984
Two stage multiple-comparison procedures give an exact solution to problems of power and Type I errors, but require equal sample sizes in the first stage. This paper suggests a method of evaluating the experimentwise Type I error probability when the first stage has unequal sample sizes. (Author/BW)
Descriptors: Hypothesis Testing, Mathematical Models, Power (Statistics), Probability
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Cohen, S. Alan – Educational Researcher, 1987
Instructional alignment is the extent to which stimulus conditions match three instructional components. This paper demonstrates a new perspective in which instructional alignment generates larger effects in research and practice for less "cost" than other instructional constructs. (VM)
Descriptors: Hypothesis Testing, Mastery Learning, Probability, Statistical Inference
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Jenson, Robert J. – Arithmetic Teacher, 1987
Presented are ideas for teaching mathematics with a microcomputer. Ideas include using Apple II Logo to help select students for activities (Wheel of Fortune) and activities to explore how the programming operates. (RH)
Descriptors: Computer Assisted Instruction, Elementary Education, Elementary School Mathematics, Mathematics Instruction
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Rindskopf, David – New Directions for Program Evaluation, 1986
Modeling the process by which participants are selected into groups, rather than adjusting for preexisting group differences, provides the basis for several new approaches to the analysis of data from nonrandomized studies. Econometric approaches, the propensity scores approach, and the relative assignment variable approach to the modeling of…
Descriptors: Effect Size, Experimental Groups, Intelligence Quotient, Mathematical Models
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Fischhoff, Baruch; Beyth-Marom, Ruth – Psychological Review, 1983
This article explores the potential of Bayesian inference as a theoretical framework for describing how people evaluate hypotheses. First, it identifies a set of logically possible forms of non-Bayesian behavior. Second, it reviews existing research in a variety of areas to see whether these possibilities are ever realized. (Author/BW)
Descriptors: Bayesian Statistics, Bias, Experimenter Characteristics, Hypothesis Testing
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Towstopiat, Olga – Contemporary Educational Psychology, 1984
The present article reviews the procedures that have been developed for measuring the reliability of human observers' judgments when making direct observations of behavior. These include the percentage of agreement, Cohen's Kappa, phi, and univariate and multivariate agreement measures that are based on quasi-equiprobability and quasi-independence…
Descriptors: Interrater Reliability, Mathematical Models, Multivariate Analysis, Observation
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Flores, Alfinio – Arithmetic Teacher, 1984
Writing short computer programs can help students to develop an understanding of random processes in probability. Three sample programs are included. (MNS)
Descriptors: Computer Programs, Elementary Secondary Education, Mathematics Education, Mathematics Instruction
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Henningsen, Jacqueline – Mathematics Teacher, 1984
Techniques that students can use to make predictions about performances in the Olympics include point estimation. This is used to estimate a single value using a set of data. A worksheet for students is included. (MNS)
Descriptors: Learning Activities, Mathematics Instruction, Prediction, Probability
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Wilcox, Rand R. – Journal of Educational Statistics, 1983
The problem of determining which of several populations has the largest mean is considered. The procedure described by Dudewicz and Dalal is extended to the case of unequal sample sizes. (JKS)
Descriptors: Analysis of Variance, Nonparametric Statistics, Probability, Reliability
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Hoffman, Nathan – Mathematics Teacher, 1976
Activities are described for a probability unit in which the Markov process is studied and applied to the weather. (DT)
Descriptors: Elementary Secondary Education, Instruction, Learning Activities, Mathematics Education
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Cromer, Fred E. – School Science and Mathematics, 1976
The benefits of using computer simulations in teaching elementary probability topics are discussed. Sample probability problems suitable for simulation are suggested. (DT)
Descriptors: Computers, Instruction, Mathematics Education, Probability
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Austin, Joe Dan – Two-Year College Mathematics Journal, 1976
A variation of the classical birthday problem is considered. A BASIC program is included in the article. (DT)
Descriptors: College Mathematics, Computer Programs, Higher Education, Mathematics
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