Spring 2020 STAT 22000-1

Course: STAT 22000

Title: Statistical Methods and Applications

Instructor(s): Peter McCullagh

Teaching Assistant(s): Yuhan Liu, Sounak Paul

Class Schedule: Sec 01:MWF 11:30 AM–12:20 PM in Eckhart 133

Office Hours:  

Textbook(s): Diez, Barr, Çetinkaya-Rundel, OpenIntro Statistics, 3rd edition.

Description: This course introduces statistical techniques and methods of data analysis, including the use of statistical software. Examples are drawn from the biological, physical, and social sciences. Students are required to apply the techniques discussed to data drawn from actual research. Topics include data description, graphical techniques, exploratory data analyses, random variation and sampling, basic probability, random variables and expected values, confidence intervals and significance tests for one- and two-sample problems for means and proportions, chi-square tests, linear regression, and, if time permits, analysis of variance.

Prerequisite(s): MATH 13100 or placement into MATH 15100 Note(s): Students may count either STAT 22000 or 23400, but not both, toward the forty-two credits required for graduation. Students with credit for STAT 23400 not admitted.