Contributed Paper C147
The Effect of the Structure of Contingency Table Data on Students’ Inferences
AuthorsTing-Ying Chu (National Taiwan Normal University, Taiwan)
Kai-Lin Yang (National Taiwan Normal University, Taiwan)
Xin-Yi Liu (National Taiwan Normal University, Taiwan)
PresenterTing-Ying Chu (Taiwan)
The aim of this research is to understand the students’ spontaneous inferences on different kinds of contingency tables. The sign of the association, the type of tables and the number structure are considered to design problems. The 10th graders of this study have not received any school instruction on contingency tables prior to the test. The results show that the contingency table problems can be classified by three factors composed of the interaction between the sign of the association and the number structure. The three factors are named as (1) correlated data, (2) uncorrelated data with the similar ratios between column values, (3) uncorrelated data with the same ration.