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Carlson, James E. – ETS Research Report Series, 2014
Many aspects of the geometry of linear statistical models and least squares estimation are well known. Discussions of the geometry may be found in many sources. Some aspects of the geometry relating to the partitioning of variation that can be explained using a little-known theorem of Pappus and have not been discussed previously are the topic of…
Descriptors: Least Squares Statistics, Geometry, Geometric Concepts, Statistical Analysis
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Acevedo Nistal, A.; Van Dooren, W.; Verschaffel, L. – Educational Psychology, 2014
This study evaluates the effects of an intervention aimed at improving representational flexibility in linear-function problems. Forty-nine students aged 13-16 participated in the study. A pretest-intervention-posttest design with an experimental and control group was used. At pretest, both groups solved a choice test, where they could freely…
Descriptors: Intervention, Experimental Groups, Control Groups, Secondary School Mathematics
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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
Thissen, David; Wainer, Howard – 1983
A statistical method is described and illustrated which provides confidence envelopes around item response functions. Examples of 95 percent confidence envelopes for the one-, two-, and three-parameter logistic response models are given. In addition, the authors describe N-line plots, which show the genesis of the envelope as well as the density…
Descriptors: Graphs, Latent Trait Theory, Mathematical Formulas, Mathematical Models
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Bosse, Michael J. – Mathematics Teacher, 2005
Modeling data behavior is differentiated from statistically determining a best-fit regression function, as it allows students to develop functions that hold certain attributes in respect to a set of data. Three techniques for developing polynomial models are demonstrated that afford students optional methods for determining appropriate polynomial…
Descriptors: Goodness of Fit, Mathematical Models, Mathematical Formulas, Mathematics Education
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Charter, Richard A. – Educational and Psychological Measurement, 1982
Practical formulas for several analysis of variance (ANOVA) designs and models are presented which make it possible for readers to compute strength of association measures without the use of complete ANOVA tables. (Author/PN)
Descriptors: Analysis of Variance, Hypothesis Testing, Mathematical Formulas, Mathematical Models
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Butters, Greg; Bandaranayake, Wije – Journal of Natural Resources and Life Sciences Education, 1993
A solution of the convection-dispersion equation is used to describe the solute breakthrough curves generated in the demonstrations in the companion paper. Estimation of the best fit model parameters (solute velocity, dispersion, and retardation) is illustrated using the method of moments for an example data set. (Author/MDH)
Descriptors: Biological Sciences, Environmental Education, Equations (Mathematics), Higher Education
Wolfle, Lee M. – 1982
Direct and indirect effects in decomposed zero-order correlations among variables in causal models are considered. Under certain circumstances, the components of the decompositions could be interpreted as direct, indirect, and spurious causal effects, plus a component called joint associations. The sum of the direct and indirect effects is the…
Descriptors: Elementary Secondary Education, Estimation (Mathematics), Mathematical Formulas, Mathematical Models