Statistical Thinking: Linking Professional Statistical Thinking with Data-Handling Processes
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Abstract
Contemporary statistics education is grounded in the idea of working with data through statistical thinking in order to explain and understand real-world phenomena according to the ways of thinking of statisticians. The key concepts underlying this perspective are thinking like a statistician and working with data. This academic article aims to analyze and present the connection between statistical thinking based on the Professional Statistical Thinking Framework (PSTF) and the Data-Handling Processes Framework (DHPF). The main points of the article are as follows: (1) PSTF encompasses statistical problem solving from problem formulation to drawing conclusions. It consists of four interconnected dimensions: Dimension 1, the investigative cycle; Dimension 2, types of thinking; Dimension 3, the interrogative cycle; and Dimension 4, dispositions. (2) DHPF defines statistical thinking at the basic education level, emphasizing actions that occur within four stages of the process. (3) Dimensions 2, 3, and 4 of the PSTF function as embedded mechanisms that regulate thinking in each stage of the DHPF, while DHPF serves as the foundational practice necessary for developing the ability to work with data like statisticians. This article indicates that statistics education should focus on developing ways of thinking about data together with practicing data-handling skills. The linkage between the two frameworks can be used as a guideline for designing instruction in order to enhance the quality of working with data.
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