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Full-Text Articles in Physical Sciences and Mathematics
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 …
A Machine Learning Exploration Of Human Connectome Data, Katrina Prantzalos
A Machine Learning Exploration Of Human Connectome Data, Katrina Prantzalos
Senior Honors Theses and Projects
The intent of this project is to statistically examine the relationships between psychological traits, demographics, and physiological information provided by various brain scans. The Human Connectome Project dataset includes brain imaging data, demographics, and psychological data, from 1,206 individuals. Using this data, we performed exploratory data analysis, including an investigation of the distinctions in connectome data across participants with anxiety and/or depression as opposed to those without. Our aim was to predict the two mental disorders from given data via machine learning techniques such as Random Forest and Boosted Trees methods. Unfortunately, we were unable to reasonably predict anxiety or …