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Stander, Julian; Dalla Valle, Luciana – Journal of Statistics Education, 2017
We discuss the learning goals, content, and delivery of a University of Plymouth intensive module delivered over four weeks entitled MATH1608PP Understanding Big Data from Social Networks, aimed at introducing students to a broad range of techniques used in modern Data Science. This module made use of R, accessed through RStudio, and some popular…
Descriptors: Foreign Countries, College Students, College Mathematics, Statistics
Dogan Temur, Özlem; Akbaba Dag, Serap; Turgut, Sedat – International Electronic Journal of Elementary Education, 2015
With developing technology statistical information and data sources become a very important issues and from primary school it has become necessary to gain the skills for making interpreting and making sense of data. These skills consist of collecting information, arrangement and analysis of collected data and the interpretation of the results. The…
Descriptors: Preservice Teachers, Elementary Education, Student Teaching, Mathematics Instruction
Peer reviewedStevens, Jill – Mathematics Teacher, 1993
Presents activities in which students develop and analyze scatterplots on graphing calculators to model corn growth, decay, a box of maximum volume, and weather prediction. Provides reproducible worksheets. (MDH)
Descriptors: Cooperative Learning, Data Analysis, Data Interpretation, Functions (Mathematics)

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