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Physical Sciences and Mathematics Commons™
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Full-Text Articles in Physical Sciences and Mathematics
Review Of Sustainable Energy -- Without The Hot Air By David Mackay (2009), Kira Hamman
Review Of Sustainable Energy -- Without The Hot Air By David Mackay (2009), Kira Hamman
Numeracy
David MacKay. Sustainable Energy: Without the hot air. (Cambridge, England: UIT Cambridge Ltd., 2009). 384 pp. ISBN 978-0954452933 (also available as a free e-book).
Physicist David MacKay transforms what has historically been a debate fraught with skepticism and hysteria into an informed conversation. He does this by providing clear, accurate quantitative information on energy production and consumption in a form that allows comparison and invites thoughtful analysis. By recalibrating power into kilowatt-hours per day per person, he makes the numbers meaningful on an individual level. He then meticulously estimates the productive capacity of various renewable energy sources, explores alternative …
Alumni Narratives On Computational Geology (Spring 1997 – Fall 2013), Victor J. Ricchezza
Alumni Narratives On Computational Geology (Spring 1997 – Fall 2013), Victor J. Ricchezza
USF Tampa Graduate Theses and Dissertations
Recent meetings and publications have discussed what geoscience undergraduates should learn for professional success, and among other items, have identified several quantitative skills and habits of mind as being necessary for geoscience students; many of these items are commonly associated with Quantitative Literacy (QL). The Computational Geology course in the geology department has been evolving at USF for 20 years. The course teaches QL in a geologic setting independent of specific core geology topics. This course has long preceded the national acknowledgment of the need for what it teaches within the field. As the first of a series of related …
Random Number Simulations Reveal How Random Noise Affects The Measurements And Graphical Portrayals Of Self-Assessed Competency, Edward Nuhfer, Christopher Cogan, Steven Fleisher, Eric Gaze, Karl Wirth
Random Number Simulations Reveal How Random Noise Affects The Measurements And Graphical Portrayals Of Self-Assessed Competency, Edward Nuhfer, Christopher Cogan, Steven Fleisher, Eric Gaze, Karl Wirth
Numeracy
Self-assessment measures of competency are blends of an authentic self-assessment signal that researchers seek to measure and random disorder or "noise" that accompanies that signal. In this study, we use random number simulations to explore how random noise affects critical aspects of self-assessment investigations: reliability, correlation, critical sample size, and the graphical representations of self-assessment data. We show that graphical conventions common in the self-assessment literature introduce artifacts that invite misinterpretation. Troublesome conventions include: (y minus x) vs. (x) scatterplots; (y minus x) vs. (x) column graphs aggregated as quantiles; line …