Applications of a computer algebra system for teaching bivariate relationships in statistics courses

被引:0
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作者
Frank Hassebrock
Rita Snyder
机构
[1] Denison University,Department of Psychology
关键词
Regression Line; Prediction Error; Conceptual Learning; Computer Algebra System; Statistical Concept;
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摘要
Maple, a computer algebra system, is used in undergraduate psychology courses to promote students’ conceptual learning of basic principles associated with bivariate relationships. Maple’s symbolic computation, graphic displays, and animation capabilities are used along with other classroom activities to study concepts related to (1) correlation coefficients, scatterplots, and regression lines, (2) factors that affect the magnitude of sample correlations, (3) inferential tests, and (4) prediction error. For each of the 15 Maple procedures, students select population correlation values and examine the effects of different values on computer-generated graphical representations of scatterplots, regression lines, and sample correlations. The procedures are described and examples of exercises to support their use are provided.
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页码:246 / 249
页数:3
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