Statistical Methods I
CLASS SESSION BEGINS: Thursday, August 21, 2014
General Information: Course will be delivered by Web conferencing utilizing Adobe Connect. Students may be present, either in person or online, for the class sessions on Tuesdays and Thursdays from 11:40-12:55, or may view the class at a later time. USC Columbia students may attend classes in College of Nursing Williams-Brice Building, Room 409; all other students will view classes via the Internet. For students viewing the class live online, the Adobe Connect URL will be posted in Blackboard by the instructor prior to the first class meeting. Students viewing at a later time may visit the Web site video.sc.edu; click on the appropriate college/school and then your class link to view lectures. High-speed Internet access is required for Adobe Connect.
Available through Blackboard.
See course syllabus online in Blackboard.
Streaming Video Assistance:
Information on technical requirements and getting started with video streaming is available online.
Course Delivery Type: Web: A Web course is taught using one or more web delivery platforms such as Blackboard, Streaming Video, Adobe Connect etc.
Students must have access to a high-speed Internet connection. More information will be provided by the instructor in the course syllabus.
(100% asynchronous - if course has any online or face-to-face meetings, live attendance will not be required. For any such sessions, there will be alternative ways to view or obtain the material covered).
Credit: 3 semester hours of undergraduate/graduate credit
Instructor: Brian Habing
Bulletin Course Description: Applications and principles of descriptive statistics, elementary probability, sampling distributions, estimation, and hypothesis testing. Inference for means, variances, proportions, simple linear regression, and contingency tables. Statistical packages such as SAS.
Prerequisites: a grade of C or higher in MATH 111 or equivalent
Information is accurate as of
July 28, 2014, 2:26 pm
(Subject to change)