APPLICATIONS OF A COMPUTER ALGEBRA SYSTEM FOR TEACHING BIVARIATE RELATIONSHIPS IN STATISTICS COURSES

Citation
F. Hassebrock et R. Snyder, APPLICATIONS OF A COMPUTER ALGEBRA SYSTEM FOR TEACHING BIVARIATE RELATIONSHIPS IN STATISTICS COURSES, Behavior research methods, instruments, & computers, 29(2), 1997, pp. 246-249
Citations number
7
Categorie Soggetti
Psychology, Experimental","Psychologym Experimental
ISSN journal
07433808
Volume
29
Issue
2
Year of publication
1997
Pages
246 - 249
Database
ISI
SICI code
0743-3808(1997)29:2<246:AOACAS>2.0.ZU;2-M
Abstract
Maple, a computer algebra system, is used in undergraduate psychology courses to promote students' conceptual learning of basic principles a ssociated 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 coe fficients, 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 va lues on computer-generated graphical representations of scatterplots, regression lines, and sample correlations. The procedures are describe d and examples of exercises to support their use are provided.