10th International
Conference on
Teaching Statistics
8 – 13 July 2018
Kyoto, Japan
Contributed paper list

Contributed Paper C135


Data, Statistical Thinking and Problem-Solving Driven Teaching Methods in Introductory Statistics


Xiaoyi Ji (United States)


A data-driven, statistical thinking-driven, and problem-solving-driven teaching methods in certain topics of introductory statistics are emphasized though traditional or mathematics-driven teaching methods are popular in statistics educations. The learning processes in dealing with data through lab activities rather than by onefold mathematical derivation, focusing on statistical thinking instead of going through with formula only, and solving the real-life questions with useful results as opposed to choosing off-the-shelf approaches for number games, are explored. The examples of examining descriptive statistics, investigating the relationship between variables, and exploring a post-hoc test to solve a real-life problem, are demonstrated to present the effectiveness of non-mathematics-driven teaching and learning in introductory statistics classroom.