This course examines modern statistical methods as a basis for decision making in the face of uncertainty. Topics include probability theory, discrete and continuous distributions, hypothesis testing, estimation, and statistical quality control. With the aid of computers, these statistical methods are used to analyze data. Also presented are an introduction to statistical models and their application to decision making. Topics include the simple linear regression model, inference in regression analysis, sensitivity analysis, and multiple regression analysis.

Statistics & Operations Research (Undergraduate)
6 credits – 15 Weeks

Sections (Spring 2024)

STAT-UB 103-000 (2538)
01/22/2024 – 05/06/2024 Mon,Tue,Thu
8:00 AM – 9:00 AM (Morning)
at Washington Square
Instructed by Giloni, Avi.

STAT-UB 103-000 (2539)
01/22/2024 – 05/06/2024 Mon,Wed,Fri
11:00 AM – 12:00 AM (Morning)
at Washington Square
Instructed by Duan, Yaqi

STAT-UB 103-000 (2540)
01/22/2024 – 05/06/2024 Mon,Wed,Fri
2:00 PM – 3:00 PM (Early afternoon)
at Washington Square
Instructed by Chen, Elynn

STAT-UB 103-000 (2541)
01/22/2024 – 05/06/2024 Tue,Thu,Fri
9:00 AM – 10:00 AM (Morning)
at Washington Square
Instructed by Kovtun, Vladimir

STAT-UB 103-000 (2542)
01/22/2024 – 05/06/2024 Tue,Thu,Fri
9:00 AM – 10:00 AM (Morning)
at Washington Square
Instructed by Turetsky, Jason

STAT-UB 103-000 (2995)
01/22/2024 – 05/06/2024 Tue,Thu,Fri
2:00 PM – 3:00 PM (Early afternoon)
at Washington Square
Instructed by Turetsky, Jason