Fundamentals of Statistical
Durham
Paul College of Business&Econ::Decision Sciences
Credits: 3.0
Class Size: 40
Term:
Fall 2024
-
Term 2 (10/28/2024
-
12/20/2024)
CRN:
15653
Grade Mode:
Letter Grading
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 data, Gaussian linear models, and model diagnostics. The course will conclude with a brief introduction to nonparametric analysis.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): DS 802 with minimum grade of B-
Instructors:
Burcu Eke Rubini
Times & Locations
Start Date | End Date | Days | Time | Location |
---|---|---|---|---|
10/28/2024 | 12/20/2024 | W | 2:10pm - 5:30pm | PBLANE 216 |