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Reeb, M. – Educational and Psychological Measurement, 1972
Descriptors: Mathematical Applications, Statistical Analysis, Statistical Significance
Watson, Donald – Mathematical Gazette, 1970
Descriptors: Game Theory, Mathematical Applications, Mathematics, Probability
Taylor, Donald J. – Creative Computing, 1981
Several problems that can be encountered with displaying numerical data are discussed, with particular view to some of the limitations on the Apple II computer. A subroutine in BASIC is listed which solves all of the problems for users who can use a scientific notation format. (MP)
Descriptors: Computer Programs, Computers, Mathematical Applications, Programing
Merriam, Daniel F. – Geotimes, 1977
Briefly describes new mathematical applications to geological problems, such as the modeling of geological processes, automatic map interpretation, and segmenting sequential data. (MLH)
Descriptors: Data Analysis, Geology, Mathematical Applications, Mathematics
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Singh, J. N.; Singh, D. – International Journal of Mathematical Education in Science and Technology, 2002
The paper reviews some recent advances in interior-point methods for linear programming and indicates directions in which future progress can be made. Most of the interior-point methods belong to any of three categories: affine-scaling methods, potential reduction methods and central path methods. These methods are discussed together with…
Descriptors: Programming, Item Banks, Mathematical Applications, Mathematics
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Seoud, M. A.; Ghouraba, F. A. A. – International Journal of Mathematical Education in Science & Technology, 2006
This note discusses some set equations, using set matrices, i.e. matrices whose entries are sets.
Descriptors: Equations (Mathematics), Mathematical Applications, Problem Solving
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Ortiz, Mary Theresa – American Biology Teacher, 2006
Mathematical applications to biology are presented in Anatomy & Physiology, General and Marine Biology. Body measurements and anatomical terminology are integrated, and problems involving neuron conduction speed, red blood cells, hemoglobin and glomerular filtration presented. General Biology applications include trans-membrane potential and…
Descriptors: Mathematical Applications, Physiology, Anatomy, Marine Biology
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Fuchs, Lynn S.; Fuchs, Douglas; Zumeta, Rebecca O. – Assessment for Effective Intervention, 2008
Progress monitoring is an important component of effective instructional practice. Curriculum-based measurement (CBM) is a form of progress monitoring that has been the focus of rigorous research. Two approaches for formulating CBM systems exist. The first is to assess performance regularly on a task that serves as a global indicator of competence…
Descriptors: Curriculum Based Assessment, Formative Evaluation, Sampling, Mathematical Applications
Liljedahl, Peter, Ed.; Oesterle, Susan, Ed.; Allan, Darien, Ed. – Canadian Mathematics Education Study Group, 2012
This submission contains the Proceedings of the 2011 Annual Meeting of the Canadian Mathematics Education Study Group (CMESG), held at Memorial University of Newfoundland in St. John's, Newfoundland. The CMESG is a group of mathematicians and mathematics educators who meet annually to discuss mathematics education issues at all levels of learning.…
Descriptors: Foreign Countries, Conference Papers, Mathematics Education, Team Teaching
Kodak, Tiffany; Lerman, Dorothea C.; Call, Nathan – Journal of Applied Behavior Analysis, 2007
Factors that influence reinforcer choice have been examined in a number of applied studies (e.g., Neef, Mace, Shea, & Shade, 1992; Shore, Iwata, DeLeon, Kahng, & Smith, 1997; Tustin, 1994). However, no applied studies have evaluated the effects of postsession reinforcement on choice between concurrently available reinforcers, even though basic…
Descriptors: Developmental Disabilities, Children, Behavior Problems, Selection
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Simons, C. S.; Wright, M. – International Journal of Mathematical Education in Science and Technology, 2007
With Simson's 1753 paper as a starting point, the current paper reports investigations of Simson's identity (also known as Cassini's) for the Fibonacci sequence as a means to explore some fundamental ideas about recursion. Simple algebraic operations allow one to reduce the standard linear Fibonacci recursion to the nonlinear Simon's recursion…
Descriptors: Mathematical Concepts, Mathematics Education, Algebra, Mathematical Applications
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El-Gebeily, M.; Yushau, B. – International Journal of Mathematical Education in Science and Technology, 2008
In this note, we demonstrate with illustrations two different ways that MS Excel can be used to solve Linear Systems of Equation, Linear Programming Problems, and Matrix Inversion Problems. The advantage of using MS Excel is its availability and transparency (the user is responsible for most of the details of how a problem is solved). Further, we…
Descriptors: Mathematical Applications, Matrices, Spreadsheets, Computer Uses in Education
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Keller-Margulis, Milena A.; Shapiro, Edward S.; Hintze, John M. – School Psychology Review, 2008
This study examined the relation between benchmark data and rate of growth across the year for reading, math computation, and math concepts and applications curriculum-based measures, and a statewide and large-scale achievement test. Results showed that reading and math benchmarks were significantly and moderately correlated with performance on…
Descriptors: Academic Achievement, At Risk Students, Achievement Tests, Reading Achievement
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Alperson, Burton L. – Human Relations, 1975
Boolean analysis makes the Interpersonal Perception Method (IPM) readily adaptable to a wide variety of investigations. A general technique for the derivation of terms is demonstrated and a sample set of determinations for evaluation of marital therapy is derived. (Author)
Descriptors: Interpersonal Relationship, Marriage Counseling, Mathematical Applications, Methods
Thompson, Bruce – 1980
Canonical correlation (CC) analysis is discussed with a view toward providing an intuitive understanding of how the technique operates. CC analysis entails calculation of one or more sets of canonical variate coefficients (CVC), i.e., weights which can be applied to the variables in a study. A canonical function (CF) always consists of exactly two…
Descriptors: Correlation, Educational Research, Mathematical Applications, Multivariate Analysis
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