Course Description
Course covers basic methods for summarizing and describing data, accounting for variability in data, and techniques for inference. Topics include basic exploratory data analysis, probability distributions, confidence intervals, hypothesis testing, and regression analysis. This is a calculus-based course. Statistical software is used; however, there is no lab associated with the course. Credit not given for this course and ST 511 or ST 513 or ST 515. This course does NOT count as an elective towards a degree or a minor in Statistics. Note: the course will be offered in person (Fall) and online (Fall and Summer).
FALL 2022
Instructors
Classes Start:
August 22, 2022
Classes End:
December 5, 2022
Location:
01216 SAS Hall
Class Days:
TH
Class Start Time:
10:15am
Class End Time:
11:30am
Class Type:
Lecture
Credits:
3.00
Delivery Method:
In Person
Restrictions:
Prerequisites: MA 241 or equivalent (Calculus II) and MA 405 or equivalent (Linear Algebra) R: Graduate Students Only
