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Direct linkSmith, Amy; Molinaro, Marco; Lee, Alisa; Guzman-Alvarez, Alberto – Science Teacher, 2014
For students to be successful in STEM, they need "statistical literacy," the ability to interpret, evaluate, and communicate statistical information (Gal 2002). The science and engineering practices dimension of the "Next Generation Science Standards" ("NGSS") highlights these skills, emphasizing the importance of…
Descriptors: STEM Education, Statistics, Statistical Analysis, Learning Modules
Peer reviewedBurn, Christopher R.; Fox, Michael F. – Journal of Geography, 1986
Exploratory data analysis (EDA) gives students a feel for the data being considered. Four applications of EDA are discussed: the use of displays, resistant statistics, transformations, and smoothing. (RM)
Descriptors: Data Interpretation, Geography Instruction, Higher Education, Learning Activities
Peer reviewedShaw, Jean M. – Arithmetic Teacher, 1993
Focuses on connections between mathematics and environmental concerns. Activities were designed to make students aware of, and increase their knowledge of, the various materials people ordinarily use and discard and ways to use materials more conservatively. Each activity includes data gathering, graphing, and interpreting data. Activity sheets…
Descriptors: Arithmetic, Class Activities, Computation, Data Collection
