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Gordon, Sheldon P.; Gordon, Florence S. – PRIMUS, 2023
This article makes a case for introducing moving averages into introductory statistics courses and contemporary modeling/data-based courses in college algebra and precalculus. The authors examine a variety of aspects of moving averages and draw parallels between them and similar topics in calculus, differential equations, and linear algebra. The…
Descriptors: College Mathematics, Introductory Courses, Statistics Education, Algebra
Gordon, Sheldon P. – International Journal for Technology in Mathematics Education, 2020
The article uses dynamic visualizations in Excel to examine a variety of ways in which students can attain a much greater depth of understanding of optimization problems in introductory calculus. The topics discussed include a variety of common optimization problems that appear in virtually every calculus textbook that can all be enhanced…
Descriptors: Problem Solving, Mathematics Instruction, Teaching Methods, Calculus
Yang, Yajun; Gordon, Sheldon P. – PRIMUS, 2016
This article looks at the effects that adding a single extra subdivision has on the level of accuracy of some common numerical integration routines. Instead of automatically doubling the number of subdivisions for a numerical integration rule, we investigate what happens with a systematic method of judiciously selecting one extra subdivision for…
Descriptors: Numbers, Accuracy, Computation, Mathematics
Gordon, Sheldon P. – International Journal of Mathematical Education in Science and Technology, 2017
This article uses dynamic software in Excel to demonstrate several ways in which graphical and numerical approaches can be introduced both to enhance student understanding of l'Hopital's Rule and to explain why the Rule actually works to give the "right" answers. One of the approaches used is to visualize what is happening by examining…
Descriptors: Computer Software, Visualization, Calculus, Spreadsheets
Gordon, Sheldon P.; Gordon, Florence S. – International Journal for Technology in Mathematics Education, 2018
This article illustrates ways that dynamic software using some sophisticated techniques in Excel can be used to demonstrate fundamental ideas related to regression and correlation analysis to increase student understanding of the concepts and methods in elementary statistics courses and in courses at the college algebra/precalculus level that…
Descriptors: Visualization, Regression (Statistics), Correlation, Computer Software
Yang, Yajun; Gordon, Sheldon P. – Mathematics Teacher, 2014
Two points determine a line. Three noncollinear points determine a quadratic function. Four points that do not lie on a lower-degree polynomial curve determine a cubic function. In general, n + 1 points uniquely determine a polynomial of degree n, presuming that they do not fall onto a polynomial of lower degree. The process of finding such a…
Descriptors: Mathematical Formulas, Calculus, Algebra, Mathematical Concepts
Gordon, Sheldon P. – Mathematics and Computer Education, 2011
This article presents an applied calculus exercise that can be easily shared with students. One of Kepler's greatest discoveries was the fact that the planets move in elliptic orbits with the sun at one focus. Astronomers characterize the orbits of particular planets by their minimum and maximum distances to the sun, known respectively as the…
Descriptors: Space Sciences, Mathematical Concepts, Calculus, College Mathematics
Gordon, Sheldon P. – Mathematics Teacher, 2013
Much of what is taught, especially in college, is designed to support other disciplines. To determine the current mathematical needs of twenty-three partner disciplines, the Mathematical Association of America (MAA) conducted the Curriculum Foundations Project (Ganter and Barker 2004; Ganter and Haver 2011), as discussed in the appendix…
Descriptors: Mathematics Instruction, Algebra, Mathematical Concepts, Calculus
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
Gordon, Sheldon P. – Mathematics Teacher, 2011
For almost all students, what happens when they push buttons on their calculators is essentially magic, and the techniques used are seemingly pure wizardry. In this article, the author draws back the curtain to expose some of the mathematics behind computational wizardry and introduces some fundamental ideas that are accessible to precalculus…
Descriptors: Data Analysis, Geometric Concepts, Trigonometry, Calculus
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
Gordon, Sheldon P.; Gordon, Florence S. – International Journal of Mathematical Education in Science and Technology, 2010
One of the most important applications of the definite integral in a modern calculus course is the mean value of a function. Thus, if a function "f" is defined on an interval ["a", "b"], then the mean, or average value, of "f" is given by [image omitted]. In this note, we will investigate the meaning of other statistics associated with a function…
Descriptors: Intervals, Statistics, Calculus, Mathematics Instruction
Gordon, Sheldon P.; Gordon, Florence S. – Mathematics Teacher, 2007
The Fundamental Theorem of Calculus is discovered based on the use of data analysis techniques applied to a variety of common families of functions. (Contains 8 figures and 6 tables.)
Descriptors: Data Analysis, Calculus, Mathematics Instruction, College Mathematics
Gordon, Sheldon P. – PRIMUS, 2008
The article describes the performance of several individual students in a college algebra/precalculus course that focuses on the development of conceptual understanding and the use of mathematical modeling and discusses the likely differences in outcome if the students took a traditional algebra-skills focused course.
Descriptors: Calculus, Algebra, College Students, College Mathematics