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Peer reviewedRobison-Cox, James F. – Teaching Statistics, 1999
The concept of confidence intervals is difficult for students to grasp. Describes an activity that helps students understand what it means to have confidence in a process. (Author/ASK)
Descriptors: Mathematics Activities, Mathematics Instruction, Secondary Education, Statistical Analysis
Peer reviewedBrehm, Michael A.; And Others – American Biology Teacher, 1996
Presents an experiment to compare the effectiveness of 95% ethanol to 20% bleach as disinfectants using t-tests for the statistical analysis of the data. Reports that bleach is a better disinfectant. Discusses the statistical and practical significance of the results. (JRH)
Descriptors: Biology, Higher Education, Microbiology, Science Experiments
Peer revieweddu Feu, Chris – Teaching Statistics, 1999
Describes a practical classroom activity for sorting lists of numbers to lead to statistical analysis. (Author/ASK)
Descriptors: Correlation, Mathematics Activities, Mathematics Instruction, Secondary Education
Peer reviewedHuberty, Carl J. – Mathematics Educator, 2000
Addresses the use of subjective judgment in research that involves statistical/quantitative methods with regard to four aspects of quantitative research: (1) design; (2) preliminary analyses; (3) general analyses; and (4) specific analyses. (Contains 37 references.) (ASK)
Descriptors: Elementary Secondary Education, Mathematics Education, Research Design, Statistical Analysis
Sahin, Ismail; Shelley, Mack – Educational Technology & Society, 2008
In the current study, the Distance Education Student Satisfaction Model, estimated as a structural equation model, is proposed to understand better what predicts student satisfaction from online learning environments. In the present study, the following variables are employed based on the Technology Acceptance Model (TAM) (Davis, Bagozzi, &…
Descriptors: Undergraduate Students, Student Attitudes, Distance Education, Online Courses
Peer reviewedChung, Chung-Sun – Journal of Chemical Education, 1985
Four cases which illustrate statistical factors in complexation reactions (where two of the reactants are monodentate ligands) are presented. Included are tables showing statistical factors for the reactions of: (1) square-planar complexes; (2) tetrahedral complexes; and (3) octahedral complexes. (JN)
Descriptors: Chemical Reactions, Chemistry, College Science, Higher Education
Principal, 1986
Presents the findings from a nationwide survey by the Educational Research Service, Inc. of principals on early childhood education. (MD)
Descriptors: Preschool Education, Sampling, Statistical Analysis, Statistical Data
Shaver, James P. – Phi Delta Kappan, 1985
A dialog between two fictional teachers provides some basic examples of how research that uses approved methodology may provide results that are significant statistically but not significant practically. (PGD)
Descriptors: Educational Research, Research Methodology, Research Problems, Sampling
Shaver, James P. – Phi Delta Kappan, 1985
The second half of a dialogue between two fictional teachers examines the significance of statistical significance in research and considers the factors affecting the extent to which research results provide important or useful information. (PGD)
Descriptors: Educational Research, Research Methodology, Research Problems, Sampling
Wirsbinski, William – 1989
This high technology quality assurance and statistics training module is a part of the statistics unit for an algebra I or algebra II course. This module fits into high school math classes in which students compute and display measures of central tendency and variability. The module contains a description, objectives, and content outline--phase I…
Descriptors: Algebra, High Schools, Learning Modules, Quality Control
Preiss, Raymond W. – 1988
The usefulness of meta-analysis in summarizing domains of primary research has led to widespread use of the techniques. Often, however, the researcher will have several options when cumulating empirical studies and readers will have questions regarding judgment calls made during a meta-analysis. In these cases, it is helpful to consult the primary…
Descriptors: Educational Research, Higher Education, Meta Analysis, Research Methodology
Peer reviewedThomas, Jerry R., Jr.; French, Karen E. – Research Quarterly for Exercise and Sport, 1986
Meta-analysis is a set of procedures used to quantify, integrate, and analyze the findings of a large number of research studies. The article describes the new statistical techniques used and provides an example of their application to data regarding gender differences in throwing velocity of children and adolescents. (Author/MT)
Descriptors: Meta Analysis, Physical Education, Psychomotor Skills, Research Reports
Rushton, Brian S. – Science Software Quarterly, 1984
Reviews a computer-assisted learning package (available from CONDUIT) which includes an introduction to factorial experimental design, and the analysis of the main effects and interactions of two- and three-factor experiments. Indicates that it is a clearly thorough package putting over a limited idea in a very lucid manner. (JN)
Descriptors: Computer Assisted Instruction, Computer Software, Factor Analysis, Higher Education
Peer reviewedReynolds, Cecil R. – Special Services in the Schools, 1986
Though clinical judgement is necessary for appropriate diagnosis and provision of services to learning disabled children, such judgement must be based on objective evidence. A statistical procedure for applying the severe discrepancy criterion dictated in federal regulations is suggested for objectifying learning disability diagnosis. (Author/DB)
Descriptors: Clinical Diagnosis, Disability Identification, Elementary Secondary Education, Eligibility
Harris, Karen R. – Diagnostique, 1983
Three procedures that help to determine the degree of confidence we can place in any raw score are discussed: computing the standard error of measurement, computing the estimated true score, and constructing confidence intervals. These three procedures are easy to use and require only elementary mathematical skills. (Author/CL)
Descriptors: Disabilities, Elementary Secondary Education, Evaluation Methods, Statistical Analysis

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