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First exposure to inferential statistical techniques, in the first statistics
course, often leaves the student with a mass of formulas and procedures but only an
uncertain sense as to how all these pieces fit into a coherent whole. The primary aim of
this course is a deep and practical understanding of the conceptual framework underlying
statistical methods. We will cover the traditional topics of the introductory course (one-
and two-sample inference), and will expand upon those topics (distributional assumptions,
nonparametric alternatives, robustness, power analysis). In the last portion of the course
we will introduce the foundational procedures in the Analysis of Variance
("ANOVA"). Pedagogical level of the course is roughly that of a graduate-level
research methods course for non-majors.
This course is typically taught every Fall Semester.
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