Mathematics and Statistics – Â鶹ÊÓƵ Wed, 01 Nov 2023 03:37:50 +0000 en-US hourly 1 https://wordpress.org/?v=6.9.4 /wp-content/uploads/2019/04/cropped-favicon_logo-32x32.jpg Mathematics and Statistics – Â鶹ÊÓƵ 32 32 Predictors of Sidewalk Conditions in the City of Salinas /projects/predictors-of-sidewalk-conditions-in-the-city-of-salinas-2/ /projects/predictors-of-sidewalk-conditions-in-the-city-of-salinas-2/#respond Wed, 01 Nov 2023 03:37:50 +0000 https://portal.epicn.org/case-stories/predictors-of-sidewalk-conditions-in-the-city-of-salinas/ Read More... from Predictors of Sidewalk Conditions in the City of Salinas

]]> The primary objective of the data analysis was to identify statistically signicant predictors of the sidewalk conditions evaluated by the City of Salinas. In summary, we found that income and education are statistically signicant predictors. Because it was an observational study not an experimental study, the students and the instructor agreed that the data could not verify any causal relationship against social justice. The data suggest, however, the sidewalk condition tends to be worse in lower income areas.

Read the final student report delivered to the local gov/community partner.

Sustainable City Years Program Contact Info

University Faculty Contact
Steven Kim
Mathematics and Statistics
Assistant Professor, Department of Math and Statistics
stkim@csumb.edu

Local Government / Community Contact
James Serrano

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