ANALYSIS OF NON-MATHEMATICS STUDENTS^-TEACHER STATISTICAL REASONING Nayla Nafisa Ghassaniy
Universitas Pendidikan Indonesia
Abstract
Both researchers and teachers as practitioners widely use statistics to intensify academic knowledge. So many universities require their students to take one statistics class leastwise as a graduation requirement. One of the goals of statistics class is to intensify the statistical reasoning ability of students. This study, therefore, aims to analyze the non-mathematics students^-teacher statistical reasoning. The researcher conducted a qualitative case study with three steps to investigate students^-teacher statistical reasoning. First, the researchers adopted the statistical reasoning task. Then tested 69 students from the fourth-semester student-teacher. Finally, the researcher analyzed students-teacher answers by classifying them based on statistical reasoning level. The results showed that students^ statistical reasoning is at the idiosyncratic, transitional, quantitative, and analytical levels, with the highest percentage at the idiosyncratic level. The conclusion was there needs to be an effort to improve the statistical reasoning of non-mathematics students-teacher.
