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Gordon, Sheldon P. – PRIMUS, 2012
Data analysis methods, both numerical and visual, are used to discover a variety of surprising patterns in the errors associated with successive approximations to the derivatives of sinusoidal and exponential functions based on the Newton difference-quotient. L'Hopital's rule and Taylor polynomial approximations are then used to explain why these…
Descriptors: Mathematics Instruction, Mathematical Concepts, Error Patterns, Data Analysis
Gordon, Sheldon P. – Mathematics and Computer Education, 2011
In both baseball and mathematics education, the conventional wisdom is to avoid errors at all costs. That advice might be on target in baseball, but in mathematics, it is not always the best strategy. Sometimes an analysis of errors provides much deeper insights into mathematical ideas and, rather than something to eschew, certain types of errors…
Descriptors: Mathematics Instruction, Calculus, Error Patterns, Mathematical Concepts
Gordon, Sheldon P. – Mathematics Teacher, 2011
In mathematics, as in baseball, the conventional wisdom is to avoid errors at all costs. That advice might be on target in baseball, but in mathematics, avoiding errors is not always a good idea. Sometimes an analysis of errors provides much deeper insights into mathematical ideas. Certain types of errors, rather than something to be eschewed, can…
Descriptors: Error Patterns, Calculus, Mathematics Instruction, Graphs
Yang, Yajun; Gordon, Sheldon P. – International Journal of Mathematical Education in Science and Technology, 2011
This article examines the question of finding the best quadratic function to approximate a given function on an interval. The prototypical function considered is f(x) = e[superscript x]. Two approaches are considered, one based on Taylor polynomial approximations at various points in the interval under consideration, the other based on the fact…
Descriptors: Intervals, Concept Formation, Mathematics Instruction, Mathematical Concepts

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