Course Description

This one-semester course introduces basic applied descriptive and inferential statistics. The first part of the course includes elementary probability theory, an introduction to statistical distributions, principles of estimation and hypothesis testing, methods for comparison of discrete and continuous data including chi-squared test of independence, t-test, analysis of variance (ANOVA), and their non-parametric equivalents. The second part of the course focuses on linear models (regression) theory and their practical implementation. This part also introduces mixed-effects models and concepts of survival analysis. More information can be found on the course syllabus

Class Sessions

Tuesdays and Thursdays, 10:00-11:20am, P&S Building 7th Floor Amphitheatre (AMP 7) *On Tuesday, Oct 24th 2017, class will be held in P&S Building AMP 1

Recitation Sessions

Mondays and/or Wednesdays, 5:30-6:50pm, Hammer LL203

Course Instructor:
Cody Chiuzan, PhD (email)
Office Hours: By Appointment

Teaching Assistants:
Zilan Chai (email)
Rebecca Deek (email)
Yutao Liu (email)
Shuang Wu (email)
Office Hours: Mondays and Wednesdays, 6:50-7:30pm, Hammer LL203


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