STA 209Applied Statistics

Grinnell College · 4 credits · UGRD

Catalog

The course covers the application of basic statistical methods such as univariate graphics and summary statistics, basic statistical inference for one and two samples, linear regression (simple and multiple), one- and two-way ANOVA, and categorical data analysis. Students use statistical software to analyze data and conduct simulations. Prerequisite: Mathematics 125 or 131. STAFF.

Recent sections

Fall 2026 · 5 sections

Aug 27 – Dec 18

Section	Days & time	Location	Instructor
01Class #98411-STA-209-01	Monday, Wednesday, Friday 8:00 AM - 9:20 AM Noyce Science Ctr 2402 (Lecture)	Noyce Science Ctr 2402	Collin Nolte
01 notes: Develop an informed critical or theoretical perspective on the social impact of data collection, including the social construction of data production, and the use of algorithmic techniques to process that data.

04Class #98414-STA-209-04	Monday, Wednesday, Friday 11:00 AM - 12:20 PM Noyce Science Ctr 2402 (Lecture)	Noyce Science Ctr 2402	Ryan Miller
04 notes: Develop an informed critical or theoretical perspective on the social impact of data collection, including the social construction of data production, and the use of algorithmic techniques to process that data.

05Class #98415-STA-209-05	Monday, Wednesday, Friday 1:10 PM - 2:30 PM Noyce Science Ctr 2402 (Lecture)	Noyce Science Ctr 2402	Zuofu Huang
05 notes: Develop an informed critical or theoretical perspective on the social impact of data collection, including the social construction of data production, and the use of algorithmic techniques to process that data.

06Class #98416-STA-209-06	Monday, Wednesday, Friday 2:40 PM - 4:00 PM Noyce Science Ctr 2402 (Lecture)	Noyce Science Ctr 2402	Jeff Jonkman
06 notes: Develop an informed critical or theoretical perspective on the social impact of data collection, including the social construction of data production, and the use of algorithmic techniques to process that data.