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Gordon, Sheldon P.; Gordon, Florence S. – PRIMUS, 2009
The authors describe a collection of dynamic interactive simulations for teaching and learning most of the important ideas and techniques of introductory statistics and probability. The modules cover such topics as randomness, simulations of probability experiments such as coin flipping, dice rolling and general binomial experiments, a simulation…
Descriptors: Intervals, Hypothesis Testing, Statistics, Probability
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Myers, Joseph; Trubatch, David; Winkel, Brian – PRIMUS, 2008
We discuss the introduction and teaching of partial differential equations (heat and wave equations) via modeling physical phenomena, using a new approach that encompasses constructing difference equations and implementing these in a spreadsheet, numerically solving the partial differential equations using the numerical differential equation…
Descriptors: Equations (Mathematics), Calculus, Teaching Methods, Mathematical Models
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Marchand, R. J.; McDevitt, T. J.; Bosse, Michael J.; Nandakumar, N. R. – PRIMUS, 2007
Many popular mathematical software products including Maple, Mathematica, Derive, Mathcad, Matlab, and some of the TI calculators produce incorrect graphs because they use complex arithmetic instead of "real" arithmetic. This article expounds on this issue, provides possible remedies for instructors to share with their students, and demonstrates…
Descriptors: Computer Software, Arithmetic, Computer Assisted Instruction, Graphs
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Pfaff, Thomas J.; Zaret, Michele – PRIMUS, 2006
We give an example of a student project that experimentally explores a topic in random graph theory. We use the "Combinatorica" package in "Mathematica" to estimate the minimum number of edges needed in a random graph to have a 50 percent chance that the graph is connected. We provide the "Mathematica" code and compare it to the known theoretical…
Descriptors: Student Projects, Mathematics Instruction, Theories, Graphs