Fundamentals of Statistical
Durham
Paul College of Business&Econ :: Decision Sciences
Credits: 3.0
Term: Fall 2020 - E-term II (10/13/2020 - 12/08/2020)
Grade Mode: Letter Grading
Term: Fall 2020 - E-term II (10/13/2020 - 12/08/2020)
Grade Mode: Letter Grading
Class Size:
24
CRN: 16808
CRN: 16808
The course is designed to introduce the fundamentals of statistics needed for solving business analytics problems. The course will mainly cover the broadly defined subjects of random sampling, likelihoods, estimation using maximum likelihood, Bayesian inference using priors, computational statistics methods, interval estimation, hypothesis testing for continuous/categorical data, and Gaussian linear models. The course will conclude with a brief introduction to nonparametric analysis. Prereq: DS 802.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Only listed campus in section: Durham
Instructors: STAFF
Times & Locations
Start Date | End Date | Days | Time | Location |
---|---|---|---|---|
10/13/2020 | 12/8/2020 | R | 5:40pm - 9:15pm | PBLANE 216 |