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You searched for +publisher:"Eastern Michigan University" +contributor:("Andrew Ross, Ph.D."). Showing records 1 – 2 of 2 total matches.

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Eastern Michigan University

1. Eide, Adam. Students’ interpretations of categorical data using dynamic graphical representations.

Degree: MA, Mathematics, 2018, Eastern Michigan University

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 identify association. These results were compared to a previous study which asked students to analyze pre-constructed graphs. Students were more successful interpreting graphs that they constructed than pre-constructed graphs. These results have curricular and future research implications. Advisors/Committee Members: Stephanie Casey, Ph.D., Andrew Ross, Ph.D., Carla Tayeh, Ph.D..

Subjects/Keywords: bivariate; categorical; data; proportional; software; statistics; Mathematics; Science and Mathematics Education; Statistics and Probability

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APA (6th Edition):

Eide, A. (2018). Students’ interpretations of categorical data using dynamic graphical representations. (Masters Thesis). Eastern Michigan University. Retrieved from https://commons.emich.edu/theses/955

Chicago Manual of Style (16th Edition):

Eide, Adam. “Students’ interpretations of categorical data using dynamic graphical representations.” 2018. Masters Thesis, Eastern Michigan University. Accessed March 26, 2019. https://commons.emich.edu/theses/955.

MLA Handbook (7th Edition):

Eide, Adam. “Students’ interpretations of categorical data using dynamic graphical representations.” 2018. Web. 26 Mar 2019.

Vancouver:

Eide A. Students’ interpretations of categorical data using dynamic graphical representations. [Internet] [Masters thesis]. Eastern Michigan University; 2018. [cited 2019 Mar 26]. Available from: https://commons.emich.edu/theses/955.

Council of Science Editors:

Eide A. Students’ interpretations of categorical data using dynamic graphical representations. [Masters Thesis]. Eastern Michigan University; 2018. Available from: https://commons.emich.edu/theses/955


Eastern Michigan University

2. Canaday, Shane. Modeling volatile organic compound emission from materials used in passenger vehicle interiors.

Degree: MS, Chemistry, 2015, Eastern Michigan University

Travel is an everyday necessity for many people, making the environment of a passenger vehicle a place where they spend a significant amount of time. Previous studies have indicated that more than 100 volatile organic compounds (VOCs) are present in ambient air within the cabins of new cars, some of which have been found to have adverse health effects. While previous VOC models have been produced, there is still uncertainty in these models with respect to changing variables such as temperature, sunlight, and the presence of multiple VOCs. An accurate and reliable model, capable of determining the concentration of different VOCs in a car cabin as a function of time, is the focus of this research. Using data from VOC determinations in environmental test chambers emitted from polymethylpentene (PMP) films, and previous chamber modeling studies, models for VOC air concentration were produced. These models were programmed using Python, an open-source programming language that can easily be used for scientific studies. Current models give accurate estimations for chambers with and without airflow. An equation to predict the surface temperature, based on incident solar irradiance, of materials was used to adjust the VOC emission models to account for sunlight. This theoretical adjustment, while still needing to be tested, provides a good foundation for accounting for sunlight in the interior of vehicles. Overall, this work builds a better understanding of vehicle indoor air quality (VIAQ) and exposes the difficulties of modeling the complicated interior environments of passenger vehicles. Advisors/Committee Members: Gavin Edwards, Ph.D, Chair, Heather Holmes, Ph.D., Andrew Ross, Ph.D..

Subjects/Keywords: Modelign; vehicles; volatile organic compounds; Chemistry

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Canaday, S. (2015). Modeling volatile organic compound emission from materials used in passenger vehicle interiors. (Masters Thesis). Eastern Michigan University. Retrieved from http://commons.emich.edu/theses/648

Chicago Manual of Style (16th Edition):

Canaday, Shane. “Modeling volatile organic compound emission from materials used in passenger vehicle interiors.” 2015. Masters Thesis, Eastern Michigan University. Accessed March 26, 2019. http://commons.emich.edu/theses/648.

MLA Handbook (7th Edition):

Canaday, Shane. “Modeling volatile organic compound emission from materials used in passenger vehicle interiors.” 2015. Web. 26 Mar 2019.

Vancouver:

Canaday S. Modeling volatile organic compound emission from materials used in passenger vehicle interiors. [Internet] [Masters thesis]. Eastern Michigan University; 2015. [cited 2019 Mar 26]. Available from: http://commons.emich.edu/theses/648.

Council of Science Editors:

Canaday S. Modeling volatile organic compound emission from materials used in passenger vehicle interiors. [Masters Thesis]. Eastern Michigan University; 2015. Available from: http://commons.emich.edu/theses/648

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