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Groenewald, A. C.; Stoker, D. J. – 1990
In a complex sampling scheme it is desirable to select the primary sampling units (PSUs) without replacement to prevent duplications in the sample. Since the estimation of the sampling variances is more complicated when the PSUs are selected without replacement, L. Kish (1965) recommends that the variance be calculated using the formulas…
Descriptors: Equations (Mathematics), Estimation (Mathematics), Foreign Countries, Mathematical Models

Pruden, Donald J. – Science Teacher, 1976
Describes a collision probability demonstration that emphasizes the value of behavior which minimizes traffic randomness. (LS)
Descriptors: Demonstrations (Educational), Instruction, Probability, Science Activities

Loase, John Frederick – Mathematics Teacher, 1976
Activities in which the claims of psychics are evaluated can be used in probability classes. (SD)
Descriptors: Algebra, Instruction, Learning Activities, Mathematical Applications

Heitele, Dietger – Educational Studies in Mathematics, 1975
Arguing that the teaching of stochastic processes should reflect the experience and reality of the student, the author urges concentration on fundamental ideas. The development of intuition should be encouraged, and to this end continuity in teaching and a spiralled curriculum are important. (SD)
Descriptors: Cognitive Development, Curriculum, Elementary Secondary Education, Instruction
Rogers, Don – MATYC Journal, 1975
After studying a unit on probability students "put it all together" by analyzing outcomes of real and computer-simulated games of craps. FORTRAN and APL programs for generation of the games are provided in this article. (SD)
Descriptors: College Mathematics, Computer Oriented Programs, Enrichment Activities, Games

Geeslin, William E.; Shavelson, Richard J. – Journal for Research in Mathematics Education, 1975
Descriptors: Cognitive Processes, Instruction, Learning, Mathematical Concepts

Tanis, Elliot A. – International Journal of Mathematical Education in Science and Technology, 1974
Described is a laboratory program at Hope College, Holland, Michigan. Examples of laboratory exercises are provided. (RH)
Descriptors: College Mathematics, Computer Assisted Instruction, Computers, Diagrams

Cannon, C. M.; Kmietowicz, Z. W. – Journal of Management Studies, 1974
Presents a method of solving decision problems in conditions of incomplete knowledge of the probabilities of the states of nature. It uses all available information in order to delimit the region of ignorance as closely as possible. (Author)
Descriptors: Decision Making, Decision Making Skills, Information Utilization, Mathematical Models
Tatsuoka, Kikumi K. – 1983
A probabilistic approach is introduced to classify and diagnose erroneous rules of operation resulting from a variety of misconceptions ("bugs") in a procedural domain of arithmetic. The model is contrasted with the deterministic approach which has commonly been used in the field of artificial intelligence, and the advantage of treating the…
Descriptors: Classification, Cognitive Processes, Educational Diagnosis, Error Patterns
Alvord, Gregory; Macready, George B. – 1982
The Pearson and likelihood ratio statistics are frequently used for assessing the absolute fit of probability models. Researchers are often interested in comparing fits provided by different models which may have a subsuming or non-subsuming relation. A subsuming relation exists when the parameters of the reduced model form a subset of those…
Descriptors: Comparative Analysis, Goodness of Fit, Latent Trait Theory, Mathematical Models
Jones, Douglas H. – 1981
A mathematical setting based on a statistical sampling probability mechanism is described. In this setting, a mathematical meaning is given for the information function; and it becomes possible to study the relative merits of various ability-estimating procedures. The maximum likelihood estimation procedure under the one-, two-, three-parameter…
Descriptors: Ability Identification, Estimation (Mathematics), Latent Trait Theory, Mathematical Models
Stallings, William M. – 1985
In the educational research literature alpha, the a priori level of significance, and p, the a posteriori probability of obtaining a test statistic of at least a certain value when the null hypothesis is true, are often confused. Explanations for this confusion are offered. Paradoxically, alpha retains a prominent place in textbook discussions of…
Descriptors: Educational Research, Hypothesis Testing, Multivariate Analysis, Probability
Bangert-Drowns, Robert L. – 1984
It is easy to observe that meta-analysis is quickly establishing itself as useful tool of the social sciences. Perusal of representative journals confirms that meta-analysis has been applied in various ways to diverse literatures. It is imperative, therefore, that reviewers, publishers, consumers, and critics of these reviews be best informed…
Descriptors: Estimation (Mathematics), Literature Reviews, Meta Analysis, Probability
Autonomic Responses of Retarded Adolescents During Anticipation and Feedback in Probability Learning

Das, J. P.; Bower, A. C. – Journal of Mental Deficiency Research, 1973
Investigated were cognitive processes involved in probability guessing in terms of autonomic changes with 48 educable mentally retarded adolescents. (Author/DB)
Descriptors: Adolescents, Cognitive Processes, Exceptional Child Research, Heart Rate

Austin, Joe Dan – Journal for Research in Mathematics Education, 1974
Seventy-one college students were taught probability and statistics for one month by one of three methods: MP, manipulative-pictorial; P, pictorial; and S, symbolic. Analysis of variance yielded significant differences (p.05) between treatment groups for selected subtests of an achievement test and generally favored MP and P over S.
Descriptors: College Mathematics, Instruction, Intermode Differences, Manipulative Materials