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Statistical Reasoning involves thinking about and understanding uncertainty and building mental models to capture key aspects of real world phenomena. As they reason with this uncertainty, students should be able to formulate questions about data and determine what data they need to answer these questions. They then gather, organize, analyze, and display this data to describe and make inferences to help them answer their questions.
Statistical Reasoning involves an integrated conceptual understanding of statistics and probability:
Key concepts involved in developing statistical and probabilistic thinking are:
Competency in statistical and probabilistic thinking enables students to reason about and discuss what data means, including the ability to use models that quantify important aspects of data that can have uncertainty, noise, and error.
Both statistical and probabilistic thinking can be influenced by the context in which the data or events occur. Further, students' prior knowledge, beliefs, and any misconceptions about chance or uncertain situations may influence the quality of their Statistical Reasoning.