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Peer reviewedKennedy, Jane B. – Mathematics Teacher, 1996
Presents activities in which students study exponential growth and decay by collecting data, constructing graphs, and discovering algebraic formulas. (MKR)
Descriptors: Algebra, Equations (Mathematics), Exponents (Mathematics), Graphs
Peer reviewedBarnes, Sue; And Others – Mathematics Teaching in the Middle School, 1994
Describes the work of a meteorologist, the history of meteorology, and links to mathematics. Contains reproducible student activity worksheets on weather data. (MKR)
Descriptors: Data Analysis, Graphs, Intermediate Grades, Junior High Schools
Peer reviewedHarbaugh, Kittylee N. – Teaching Children Mathematics, 1995
Describes the use of glyphs, simple pictures or graphs whose parts represent information about a given subject, in a second-grade classroom. Includes many examples. (MKR)
Descriptors: Art, Elementary School Mathematics, Grade 2, Graphs
Peer reviewedBartlett, Albert A. – Physics Teacher, 1994
Attempts to determine, using estimations and current power-law relationships, whether a newspaper report concerning the statement that a single 40,000-kg truck does as much damage to the highway as 9,600 cars is true. Provides a mathematical and graphical possible solution. (MVL)
Descriptors: Estimation (Mathematics), Graphs, Higher Education, Mathematical Applications
Peer reviewedWilkinson, Ladye K. – Physics Teacher, 1995
Describes the use of the computer software "Graphs and Tracks" a tool for interactive computer instruction, in teaching one-dimensional kinematics concepts and connecting these concepts to their graphical representations. Provides ordering information. (JRH)
Descriptors: Acceleration (Physics), Computer Simulation, Computer Software, Graphs
Peer reviewedJur, Barbara A. – Mathematics Teacher, 1992
Demonstrates that the functions known as the witch of Agnesi and the normal distribution are not identical by comparing the areas under the curves and the slopes of the lines tangent to the curves of the two functions. Suggests follow-up activities to the investigation. (MDH)
Descriptors: Area, Calculus, Enrichment Activities, Functions (Mathematics)
Peer reviewedPechenik, Jan A.; Tashiro, Jay Shiro – American Biology Teacher, 1992
This paper suggests an inexpensive way for encouraging discussions of experimental design and data interpretation for all grade levels. The discussion begins with the presentation of a graph or table from the scientific literature. Questions are then asked in six steps to promote an understanding of the information contained. (PR)
Descriptors: Biology, Data Interpretation, Elementary Secondary Education, Graphs
Peer reviewedLin, Miao-Hsiang; Hsiung, Chao A. – Psychometrika, 1992
Four bootstrap methods are identified for constructing confidence intervals for the binomial-error model. The extent to which similar results are obtained and the theoretical foundation of each method and its relevance and ranges of modeling the true score uncertainty are discussed. (SLD)
Descriptors: Bayesian Statistics, Computer Simulation, Equations (Mathematics), Estimation (Mathematics)
Peer reviewedSlaughter, Joseph M.; And Others – Chemical Engineering Education, 1991
Three mathematics software packages, MathCAD, Point Five, and TK Solver Plus, are described and compared. The packages were rated on the accompanying documentation, ease of learning, ease of use, matrix operations, equation solving capability, versatility, use of units, generation of graphs and tables, readability of output, and overall…
Descriptors: Chemical Engineering, Chemistry, College Science, Computation
Peer reviewedSzetela, Walter; Beattie, Ian D. – Mathematics Teacher, 1991
An example of real-world data is used to introduce comprehensible and visual images of the data and their attributes and relationships. Stem-and-leaf plots, box-and-whisker plots, and scattergrams are used to encourage prompt recognition of data characteristics and to effect appropriate interpretations and inferences. (JJK)
Descriptors: Data Analysis, Data Collection, Graphs, High Schools
Schumacher, Phyllis; And Others – Collegiate Microcomputer, 1993
Describes a study of computer experiences and attitudes as well as computer and math anxiety among MBA students. Previous research is reviewed; gender differences are examined; correlations between specific computer experiences and attitudes are considered; and the relationships of experiences and attitudes with grades are discussed. (Contains 52…
Descriptors: Correlation, Grades (Scholastic), Graduate Students, Graphs
Peer reviewedWilliams, Carol G. – Mathematics and Computer Education, 1993
Discusses areas where teachers may harbor mistaken assumptions about their students' understanding when using graphing calculators: (1) confidence and competence with order of operations, (2) integration of algebraic and graphical knowledge, and (3) scaling a graph. (MKR)
Descriptors: Algebra, College Students, Concept Formation, Difficulty Level
Peer reviewedScariano, Stephen M.; Calzada, Maria E. – Mathematics and Computer Education, 1994
Challenges mathematics instructors to use graphing calculator technology in courses designed for non-mathematics majors and offers three types of open-ended problems that can be integrated into a basic skills mathematics curriculum: simultaneous equations, distance problems, and proportions using real data. (MKR)
Descriptors: College Mathematics, Distance, Equations (Mathematics), Graphing Calculators
Peer reviewedDunham, Penelope H.; Dick, Thomas P. – Mathematics Teacher, 1994
Presents an overview and discussion of some results of research on the use of graphing calculators organized into the following categories: (1) achievement studies, (2) conceptual understanding, (3) problem solving, (4) classroom dynamics, and (5) future research needed. (29 references) (MKR)
Descriptors: Classroom Environment, Concept Formation, Functions (Mathematics), Graphing Calculators
Peer reviewedMassaro, Dominic W.; Cohen, Michael M. – Cognitive Psychology, 1991
The stochastic interactive activation and competition (SIAC) model of perception is presented and tested using several data sets from previous research. The asymptotic predictions of the SIAC model are compared with those of the fuzzy logical model of perception (FLMP). Evidence favoring the FLMP is reviewed. (SLD)
Descriptors: Comparative Analysis, Context Effect, Equations (Mathematics), Estimation (Mathematics)


