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Physical Sciences and Mathematics Commons™
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Full-Text Articles in Physical Sciences and Mathematics
Development Of A Data Science Curriculum For An Engineering Technology Program, Salih Sarp, Murat Kuzlu, Otilia Popescu, Vukica M. Jovanovic, Zafer Acar
Development Of A Data Science Curriculum For An Engineering Technology Program, Salih Sarp, Murat Kuzlu, Otilia Popescu, Vukica M. Jovanovic, Zafer Acar
Engineering Technology Faculty Publications
Data science has gained the attention of various industries, educators, parents, and students thinking about their future careers. Statistics departments have traditionally offered data science courses for a long time. The main objective of these courses is to examine the fundamental concepts and theories. However, teaching data science courses has also expanded to other disciplines due to the vast amount of data being collected by numerous modern applications. Also, someone needs to learn how to collect and process data, especially from industrial devices, because of the recent development of Internet of Things (IoT) technologies. Hence, integrating data science into the …
Playfair's Introduction Of Bar And Pie Charts To Represent Data, Diana White, River Bond, Joshua Eastes, Negar Janani
Playfair's Introduction Of Bar And Pie Charts To Represent Data, Diana White, River Bond, Joshua Eastes, Negar Janani
Statistics and Probability
No abstract provided.
Representing And Interpreting Data From Playfair, Diana White, River Bond, Joshua Eastes, Negar Janani
Representing And Interpreting Data From Playfair, Diana White, River Bond, Joshua Eastes, Negar Janani
Statistics and Probability
No abstract provided.
Seeing And Understanding Data, Beverly Wood, Charlotte Bolch
Seeing And Understanding Data, Beverly Wood, Charlotte Bolch
Statistics and Probability
No abstract provided.
Students’ Interpretations Of Categorical Data Using Dynamic Graphical Representations, Adam Eide
Students’ Interpretations Of Categorical Data Using Dynamic Graphical Representations, Adam Eide
Master's Theses and Doctoral Dissertations
Statistical association is an important concept in statistics. An exploratory study examined how students reason about statistical association utilizing graphical representations constructed with CODAP, a dynamic statistical graphing software. Task-based interviews were conducted with three 6th grade students prior to formal instruction. Students’ conceptions of a statistical relationship, proportional reasoning skill level, ability to interpret bivariate categorical graphs (particularly segmented bar graphs and two-way binned plots), and ability to identify association of two categorical variables were all investigated through interview tasks and responses to inquiry. Students were found to have developing proportional reasoning skills and struggled to correctly define and …