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MND recognizes the importance of data literacy, especially in the Earth Sciences because data are the foundation of science.  But what does data literacy look like?

Use the Data Literacy Cubes to guide students’ exploration of data to enrich their observations and inferences.  This is a flexible resource that may be used with a variety of graphical representations of data.  This activity requires a graph for students to evaluate.   For the purposes

Scientists and engineers use mathematics and quantitative thinking to representing variables, behaviors, and their relationships. Mathematics is used to create models and simulations; statistically analyze data; and recognize, communicate, and look for relationships with other variables.