Publication Date
In 2025 | 31 |
Since 2024 | 181 |
Since 2021 (last 5 years) | 748 |
Since 2016 (last 10 years) | 2043 |
Since 2006 (last 20 years) | 5041 |
Descriptor
Source
Author
Publication Type
Education Level
Audience
Teachers | 390 |
Practitioners | 378 |
Researchers | 111 |
Students | 29 |
Policymakers | 16 |
Administrators | 13 |
Parents | 9 |
Counselors | 8 |
Community | 1 |
Media Staff | 1 |
Location
Australia | 129 |
California | 92 |
Canada | 87 |
United States | 84 |
Germany | 81 |
Florida | 79 |
Texas | 73 |
Turkey | 66 |
United Kingdom | 60 |
New York | 52 |
United Kingdom (England) | 51 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Meets WWC Standards without Reservations | 4 |
Meets WWC Standards with or without Reservations | 13 |
Does not meet standards | 13 |

Mosteller, Frederick – Math Teacher, 1970
Descriptors: Material Development, Mathematical Applications, Mathematics Education, Probability

Brainerd, Charles J. – Psychological Review, 1981
The development of probability judgment is explained in terms of working memory, composed of four types of storage operations and three types of processing operations. Age changes in probability judgment were related to changes in frequency retrieval, which stem from changes in constraints on work-space capacity. (Author/RD)
Descriptors: Cognitive Development, Cognitive Processes, Early Childhood Education, Foreign Countries

Bursik, Robert J., Jr. – Social Forces, 1980
Discusses problems with the use of stochastic (probabilistic) models for the analysis of juvenile offense data. Analyzes longitudinal data for White and non-White delinquents which show significant evidence of offense specialization and a random distribution of offenses if no specialization occurs. (Author/GC)
Descriptors: Behavior Patterns, Delinquency, Models, Probability

Boas, Ralph – Two-Year College Mathematics Journal, 1980
Concepts of probability and statistics are discussed in terms of common occurrences and objects. (MK)
Descriptors: Higher Education, Mathematical Applications, Mathematical Concepts, Mathematics

Meyer, Lennart – Educational and Psychological Measurement, 1979
The PM statistical index, which indicates the probability that a person will belong to a particular clinical class, is described. The coefficient is similar to the G index but is easier to compute. An empirical example is presented. (JKS)
Descriptors: Adults, Clinical Diagnosis, Data Analysis, Hypothesis Testing

Wilcox, Rand R. – Educational and Psychological Measurement, 1979
Wilcox has described three probability models which characterize a single test item in terms of a population of examinees (ED 156 718). This note indicates indicates that similar models can be derived which characterize a single examinee in terms of an item domain. A numerical illustration is given. (Author/JKS)
Descriptors: Achievement Tests, Item Analysis, Mathematical Models, Probability
Lappan, Glenda; Winter, M. J. – Creative Computing, 1979
The computer is used to simulate repetitions of games used in teaching expected value. Details of the games and the computer programs are given. (MP)
Descriptors: Computer Programs, Computers, Games, Higher Education

Vawter, Richard – American Journal of Physics, 1979
Describes a new method of evaluating multiple choice examinations by measuring the entropy state of a student's examination above the "thermal background level," and shows that the entropy grade contains standard scoring as a special case. (Author/GA)
Descriptors: College Science, Evaluation, Higher Education, Instruction

Stake, Jayne Elley – Journal of Consulting and Clinical Psychology, 1976
Each of 96 college females and 95 college males were randomly assigned to either a high or a low subjective probability of outstanding performance condition. The findings are contrary to predictions based on the fear of success hypothesis. Implications of the results for the fear of success hypothesis are discussed. (Author)
Descriptors: Failure, Fear, Females, Goal Orientation

Li, Hsin-Hung; Stout, William – Psychometrika, 1996
A hypothesis testing and estimation procedure, Crossing SIBTEST, is presented for detecting crossing differential item functioning (DIF), which exists when the difference in probabilities of a correct answer for two examinee groups changes signs as ability level is varied. The procedure estimates the matching subtest score at which crossing…
Descriptors: Ability, Estimation (Mathematics), Hypothesis Testing, Item Bias

Brunner, Regina Baron – Mathematics Teacher, 1997
Presents a Monte Carlo simulation on probability using a telephone directory as a pseudorandom-number generator. Claims that Monte Carlo simulations offer a way to teach probability concretely and with understanding and that students enjoy the probability experiments. (ASK)
Descriptors: Class Activities, Mathematics Instruction, Monte Carlo Methods, Probability

Uslick, JoAnn; Barr, Susan G. – Teaching Children Mathematics, 2001
Presents a sample of Probability Carnival activities and suggests how they might be adapted for the classroom. (KHR)
Descriptors: Educational Games, Elementary Education, Inventions, Mathematics Activities

Singhal, Amit; And Others – Information Processing & Management, 1996
Describes a study that investigated document retrieval relevance based on document length in an experimental text collection. Topics include term weighting and document ranking, retrieval strategies such as the vector-space cosine match, and a modified technique called the pivoted cosine normalization. (LRW)
Descriptors: Documentation, Information Retrieval, Mathematical Formulas, Probability

Quinn, Robert J. – Teaching Statistics, 1997
Investigates an interesting application of probability in the world of sports. Considers the role of permutations in the lottery system used by the National Basketball Association (NBA) in the United States to determine the order in which nonplayoff teams select players from the college ranks. Presents a lesson on this topic in which students work…
Descriptors: Cooperative Learning, Lesson Plans, Mathematics Activities, Probability

Berry, Kenneth J.; Mielke, Paul W., Jr. – Educational and Psychological Measurement, 1997
Describes a FORTRAN software program that calculates the probability of an observed difference between agreement measures obtained from two independent sets of raters. An example illustrates the use of the DIFFER program in evaluating undergraduate essays. (Author/SLD)
Descriptors: Comparative Analysis, Computer Software, Evaluation Methods, Higher Education