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Peer reviewedOffenbach, Stuart I.; And Others – Child Development, 1984
Examines hypotheses and strategies used by children at the kindergarten, second-, fourth- and sixth-grade levels in making proportional judgements. The task involved 36 trials in which the child had to choose between two groups to obtain a target-color "chip." Results generally conformed to the developmental sequence proposed by Piaget…
Descriptors: Children, Concept Formation, Developmental Stages, Grade 2
Peer reviewedFlusser, Peter – Mathematics Teacher, 1984
A problem from a course called "Introduction to Gambling" is described. A flowchart and a computer program are included. (MNS)
Descriptors: College Mathematics, Computer Oriented Programs, Computer Software, Flow Charts
Peer reviewedSundberg, Marshall D. – Journal of College Science Teaching, 1984
Stereology is the study of three-dimensional objects through the interpretation of two-dimensional images. Stereological techniques used in introductory botany to quantitatively examine changes in leaf anatomy in response to different environments are discussed. (JN)
Descriptors: Biology, Botany, College Science, Earth Science
Peer reviewedHeintz, Ruth E. – Mathematics Teacher, 1977
A game simulating a probability problem is described. Modifications of the game are discussed. (DT)
Descriptors: Class Activities, College Mathematics, Educational Games, Games
Plake, Barbara S.; Impara, James C.; Hertzog, Melody; Giraud, Gerald; Spies, Robert – 1997
Judgmental standard setting approaches rely on the perceptions of experts about examinee performance on a test. Traditional standard setting methods ask panelists to predict the probability that a randomly selected, hypothetical minimally competent candidate (MCC) will correctly answer test questions. Item performance predictions are difficult for…
Descriptors: Concept Formation, High School Students, High Schools, Judges
Missouri State Dept. of Elementary and Secondary Education, Jefferson City. – 2000
This assessment sample provides information on the Missouri Assessment Program (MAP) for grade 8 mathematics. The sample consists of three items taken from the test booklet and scoring guides for the three items. The items assess number theory, data analysis, probability and statistics, and patterns and relationships. (MM)
Descriptors: Answer Keys, Data Analysis, Evaluation, Grade 8
Levy, Roy; Mislevy, Robert J. – US Department of Education, 2004
The challenges of modeling students' performance in simulation-based assessments include accounting for multiple aspects of knowledge and skill that arise in different situations and the conditional dependencies among multiple aspects of performance in a complex assessment. This paper describes a Bayesian approach to modeling and estimating…
Descriptors: Probability, Markov Processes, Monte Carlo Methods, Bayesian Statistics
Peer reviewedHall, Harvey N. – Arithmetic Teacher, 1974
Descriptors: Geometric Concepts, Instruction, Manipulative Materials, Mathematical Concepts
Peer reviewedBeyth-Marom, Ruth; Dekel, Shlomit – Instructional Science, 1983
Describes the development of a curriculum to improve problem- solving ability when faced with uncertainty by (1) encouraging students to examine their thought processes, (2) presenting fallacious arguments, and (3) providing better tools for decision making. Relevant psychological research, some problems of teacher training, and a small-scale…
Descriptors: Abstract Reasoning, Cognitive Processes, Curriculum Development, Decision Making
Rippey, Robert M.; Voytovich, Anthony E. – Journal of Computer-Based Instruction, 1983
Describes a computer-based method of confidence-testing, available in batch processing and interactive form, which improves a student's ability to assess probabilities during clinical diagnosis. The methods and results of three experiments are presented. (EAO)
Descriptors: Clinical Diagnosis, Computer Assisted Testing, Confidence Testing, Decision Making
Peer reviewedGreen, David – School Science and Mathematics, 1983
A three-year research project in England investigated the probability concepts of students aged 11-16. A 26-item test was administered to 2,930 students. The development and test results of one item are presented to illustrate the difficulty of item construction and interpretation. (MNS)
Descriptors: Educational Research, Elementary School Mathematics, Elementary Secondary Education, Mathematics Achievement
Peer reviewedNeff, John D. – Two-Year College Mathematics Journal, 1982
Pascal's Triangle is examined within the context of providing a partial model for the outcomes of dice throws. Several issues are addressed regarding the nature of the pattern. Discussion leads to the development of a general formula for six-sided dice. Modifications for other than six sides are noted. (MP)
Descriptors: College Mathematics, Equations (Mathematics), Higher Education, Mathematical Applications
Peer reviewedPeterson, Penelope L.; And Others – Journal of Educational Psychology, 1982
Six classes of fifth- and sixth-grade students were taught a unit on probability. Following the lesson, students were interviewed about their thought processes. Students' reports of their understanding of the lesson and their use of specific cognitive strategies were related to achievement. (Author/BW)
Descriptors: Academic Achievement, Academic Aptitude, Cognitive Processes, Elementary School Mathematics
Peer reviewedMathematics Teacher, 1981
Two teaching ideas are shared. The first deals with a game called "Mathardy," which is similar to the old television show "Jeopardy," and which can be adapted to nearly any age and subject matter. The second idea deals with probability graphs of data from a basketball team. (MP)
Descriptors: Drills (Practice), Educational Games, Graphs, Mathematics Education
Peer reviewedBrazier, Gerald D. – Two-Year College Mathematics Journal, 1980
A model of competition probabilities using past performances of competitors against common opponents is constructed. Application to predicting victories in athletic competitions is also reviewed. (MP)
Descriptors: College Mathematics, Higher Education, Mathematical Applications, Mathematical Enrichment


