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In this course students will learn to use social science statistics to test their own research questions, while becoming more educated consumers of statistical analyses presented in research and news sources. Students will employ various inferential statistics techniques commonly used in social science, such as confidence intervals, t-tests, chi-square testing, correlation, ANOVA, and regression. Students will manage and analyze data using the Stata statistical software package.

“I, at least, am not a Marxist”&�Բ�����;Karl Marx

In lieu of more conventional advanced Spanish classes, paralleling a series of often disparate tutorials, with tutees working in relative isolation, the proposal is to allow students free reign over an idea for a final, term-long project, while concurrently offering them an educated, exoteric audience to assist in fleshing out their work. Faculty will provide key secondary and tertiary reading, common to all, some with immediate relevance to the projects in question, some deemed necessary for any culminating work, but the primary content of these sessions will be student-driven.

Low-intermediate level. More details to be announced soon. 

High-intermediate level. More details to come soon.