Open AccessUSING GUIDED REINVENTION TO DEVELOP TEACHERS’ UNDERSTANDING OF HYPOTHESIS TESTING CONCEPTS
Author(s) -
Jason Dolor,
Jennifer Noll
Publication year - 2015
Publication title -
statistics education research journal
Language(s) - English
Resource type - Journals
ISSN - 1570-1824
DOI - 10.52041/serj.v14i1.269
Subject(s) - statistical inference , mathematics education , statistical hypothesis testing , categorical variable , statistics education , inference , test (biology) , psychology , computer science , statistics , mathematics , artificial intelligence , paleontology , biology
Statistics education reform efforts emphasize the importance of informal inference in the learning of statistics. Research suggests statistics teachers experience similar difficulties understanding statistical inference concepts as students and how teacher knowledge can impact student learning. This study investigates how teachers reinvented an informal hypothesis test for categorical data through the framework of guided reinvention. We describe how notions of variability help bridge the development from informal to formal understandings of empirical sampling distributions and procedures for constructing statistics and critical values for conducting hypothesis tests. A product of this paper is a hypothetical learning trajectory that statistics educators could utilize as both a framework for research and as an instructional tool to improve the teaching of hypothesis testing.
First published May 2015 at Statistics Education Research Journal Archives