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Ernest C. Davenport Jr.; Mark L. Davison; Kyungin Park – Journal of Educational and Behavioral Statistics, 2024
The following study shows how reparameterizations and constraints of the general linear model can serve to parse quantitative and qualitative aspects of predictors. We demonstrate three different approaches. The study uses data from the High School Longitudinal Study of 2009 on mathematics course-taking and achievement as an example. Results show…
Descriptors: High School Students, Mathematics Instruction, Mathematics Achievement, Grade 9
Chance, Beth; Reynolds, Shea – Journal of Statistics Education, 2019
Through a series of explorations, this article will demonstrate how the Kentucky Derby winning times dataset provides various opportunities for introductory and advanced topics, from data processing to model building. Although the final goal may be a prediction interval, the dataset is rich enough for it to appear in several places in an…
Descriptors: Prediction, Statistics, Data Processing, Homework
Kartal, Ozgul; Dunya, Beyza Aksu; Diefes-Dux, Heidi A.; Zawojewski, Judith S. – International Journal of Research in Education and Science, 2016
Critical to many science, technology, engineering, and mathematics (STEM) career paths is mathematical modeling--specifically, the creation and adaptation of mathematical models to solve problems in complex settings. Conventional standardized measures of mathematics achievement are not structured to directly assess this type of mathematical…
Descriptors: Mathematical Models, STEM Education, Standardized Tests, Mathematics Achievement
Jacobson, Erik; Izsák, Andrew – Journal of Mathematics Teacher Education, 2015
Past studies have suggested that in light of recent curriculum standards, many US teachers make limited use of drawn models in their mathematics instruction. To gain insight into this phenomenon, we investigated relationships between US teachers' opportunities to learn about, knowledge of, motivation for, and instructional use of drawn models for…
Descriptors: Middle School Teachers, Mathematics Teachers, Mathematics Instruction, Secondary School Mathematics
Fox, William – Journal of Computers in Mathematics and Science Teaching, 2012
The purpose of our modeling effort is to predict future outcomes. We assume the data collected are both accurate and relatively precise. For our oscillating data, we examined several mathematical modeling forms for predictions. We also examined both ignoring the oscillations as an important feature and including the oscillations as an important…
Descriptors: Foreign Countries, Mathematical Models, War, Data Analysis
Gorgievski, Nicholas; DeFranco, Thomas C.; Swaminatha, Hariharan; Sofronas, Kimberly S. – MathAMATYC Educator, 2010
In 1974, the National Football League (NFL) initiated a sudden death overtime rule for games ending in a tie score at the end of regulation time. The rule states that the sudden death system of determining the winner shall prevail when the score is tied at the end of the regulation playing time of all NFL games. The team scoring first during…
Descriptors: Team Sports, Games, Scoring, Predictor Variables
Lege, Jerry – Mathematics Teacher, 2009
The white picket fence is an integral component of the iconic American townscape. But, for mathematics students, it can be a mathematical challenge. Picket fences in a variety of styles serve as excellent sources to model constant, step, absolute value, and sinusoidal functions. "Principles and Standards for School Mathematics" (NCTM 2000)…
Descriptors: Mathematical Models, Cognitive Processes, Mathematics Instruction, Mathematics Education
Actuarial Foundation, 2012
The purpose of these modules is to provide an introduction to the world of probability and statistics to accelerated mathematics students at the high school level. The materials are centered on the fictional town of Happy Shores, a coastal community which is at risk for hurricanes. Actuaries at an insurance company figure out the risks and…
Descriptors: Mathematical Concepts, Probability, Statistics, Learning Modules

Kerley, Lyndell; Knisley, Jeff – Primus, 2001
Although data is often used to estimate parameters for models in calculus and differential equations, the models themselves are seldom justified. Uses the data itself to motivate mathematical models in introductory mathematics courses. Illustrates various regression and optimization techniques. (Author/ASK)
Descriptors: College Mathematics, Higher Education, Mathematical Models, Mathematics Instruction

Galban, Javier – Journal of Chemical Education, 2004
A simplified mathematical model for the calculation of imprecision associated with the construction of a calibration line is presented. The model also aims at a discussion on variables that really affect it and to integrate the resulting imprecision with that caused by the other steps in the analytical method in order to calculate a real…
Descriptors: Mathematical Models, Intervals, Computation, Regression (Statistics)

Horton, Robert, M.; Phillips, Vicki; Kenelly, John – Mathematics Teacher, 2004
Spreadsheets to explore regression with an algebra 2 class in a medium-sized rural high school are presented. The use of spreadsheets can help students develop sophisticated understanding of mathematical models and use them to describe real-world phenomena.
Descriptors: Spreadsheets, Mathematical Models, Regression (Statistics), Rural Schools
Yoshiwara, Bruce; Yoshiwara, Kathy – 2000
This collection of activities is intended to enhance the teaching of college algebra through the use of modeling. The problems use real data and involve the representation and interpretation of the data. The concepts addressed include rates of change, linear and quadratic regression, and functions. The collection consists of eight problems, four…
Descriptors: Algebra, Data Analysis, Functions (Mathematics), Higher Education

Mathews, John H. – Mathematics and Computer Education, 1992
Presents two mathematical methods for fitting the logistic curve to population data supplied by the U.S. Census Bureau utilizing computer algebra software to carry out the computations and plot graphs. (JKK)
Descriptors: College Mathematics, Computer Assisted Instruction, Differential Equations, Higher Education