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).
DE Program
Statistics Online Masters Program
FALL 2019
Instructors
Classes Start:
August 21, 2019
Classes End:
December 6, 2019
Distance Education:
Yes
Class Type:
Lecture
Credits:
3.00
Delivery Method:
Internet
Restrictions:
Prerequisites: MA 241 or equivalent (Calculus II) R: 17ASDMCTG, 17SECTG, 17STMR/17STZMR and NDS only
